Myself, mostly. Trying to wrestle with realizing how much time I've not been spending on my supposedly main project[1] and questioning whether it's really worth doing.
> Any new ideas that you're thinking about?
Way too many. Writing todo lists is part of working on myself.
[1]: PAPER, a pure-Python ~(pip/pipx replacement), from scratch with an emphasis on simplicity and elegance. https://github.com/zahlman/paper . There's more locally that I haven't pushed, including factoring some stuff out into a separate project and planning more of the same. But yeah.
An AI based time tracker: reconstructs your day from whatever it sees you doing. Screenshot based but never stores them.
The same tech stack is pretty easily adaptable to openclaw tracking. If anybody would like to try, DM
Also looking into AI based security tools for monitoring security of DoneThat. Thinking of using zeropath would love to hear if people tried them / have other suggestions
This feels like it will very easily segway into corporate "spyware" if you ever start doing enterprise plans.
What's your take on that?
So spyware in the sense of getting information without the employee knowing would be impossible and not something I’d ever want to do.
It does enable transparency on a very abstracted level: your team could see a six bullet point summary of your day if you opt in. I believe this kind of transparency can actually help more teams go remote, cut down on sync meetings, etc.
I’m currently experimenting with a feature that shows relative time spent only, not absolute - so e.g. 30% on project X, 20% on admin, etc. That could be the sweet spot on visibility vs privacy.
It's a free USCIS form-filling web-app(no Adobe required). USCIS forms still use XFA PDFs, which don’t let you edit in most browsers. Even with Adobe, fields break, and getting the signature is hard.
So I converted the PDF form into modern, browser-friendly web forms - and kept every field 1:1 with the original. You fill the form, submit it, and get the official USCIS PDF filled.
I found out simplecitizen offers a DIY plan for $529 (https://www.simplecitizen.com/pricing/)
So, a free (and local-only) version might be a good alternative
Full project: https://euzoia.org
Tried to be super low-tech: Notion, super.so, Spotify creators, riverside.
Now thinking of building an email-based agent for behaviour change accountability. Would love any pointers to good UX for email-based AI assistants.
It's an infinite canvas that runs SQL.
I've been working with data my entire career. I feel like we need to alt+tab so much. What if we just put it all on a canvas?
Currently very WIP, but there's a simple titanic demo available!
Built with tldraw and duckdb wasm, running on cloudflare durable objects
We were using it at work (transitioning to Metabase); it's great for exploring and debugging and prototyping but it ends up too much of a tangled spaghetti mess for anything long-term. Would not recommend for user-/other-company-departments-facing reports or dashboards.
Lots of work left to do, but happy to have a working version up. It's an interactive map that currently shows all the routes and stops for SF Muni, BART, Caltrain, samTrans, and VTA. There are many more agencies (official and unofficial) in the bay, so I'll be adding those throughout the next few days as I sort out the data.
Finding the data and cleaning/normalizing it is a real pain, so if anyone knows a good place to find them (and normalize them), please do share
Behind the scenes I’m rebuilding the sync engine to properly support offline mode. Trying to get to instant opens for the app (and of course work offline). It’s probably my 5th sync engine. It’s been really fun to see how much easier, faster, better, etc each new iteration is.
(And the project at large is https://phrasing.app - a language learning app for polyglots. It’s like anki but designed to be enjoyed)
It's a daily puzzles website focused on logic puzzles at this moment. I have about 70 subscribers, and it's online since Dec/25.
im building Satori to fix this -https://www.usesatori.sh/
would love feedback!
https://www.inclusivecolors.com/
Unlike most tools based around autogenerating colors, this is more of an editor that lets you fully customise all the tint/shades to your liking with a focus on accessibility. This is important when you've got existing brand colors to include and want to find accessible color combinations that work together.
Would love feedback in general and especially from designers/devs who have different needs in how they go about creating branded palettes!
Thanks! Any problems you've found with this approach or it's usually good enough?
For me, I couldn't find a tool that would let me customize multiple color scales at once, check they look good together on a mockup, and also be accessible. It's one of those problems where you can autogenerate something that gets you most of the way there, but then for it to be usable you need need to see how it looks on designs and fine tweak it.
Current coverage is the US, more countries coming soon.
Interpretation of SysML activity diagrams as temporal logic for use with state machine specifications.
Module system for state machine with scoping, ownership type system and attendant theorems to carry proofs of LTL properties about individual parts forward after composition.
The first is an attempt to provide a semantics for activity diagrams as constraints on a state machine and thereby allow folks to specify correctness properties for the state machine using a visual language. Existing work on semantics for activity diagrams already exists but doesn’t come with tooling in the way that temporal logic does (https://arxiv.org/pdf/1409.2366)
The second is an attempt to fix a long standing problem with state machine specification languages. While many support composition operators (parallel and/or nesting) none of them come with strong theorems about when temporal properties proven about constituent elements will remain valid in the composite.
“Compiles” to SQL, but with a different structural paradigm.
Also, watching a bunch of videos and reading docs on OpenClaw. I had thought I'd do an install of it sometime this weekend, but I don't know if I'll get to that at this point or not.
And lastly, messing with Spring AI[2]. I wanted to get a local build of that going so I can dig into the bowels of it and hack on it a bit. So I got that repo cloned and ran a quick build, and now I plan to start exploring the codebase.
I'm also working on a new strength gains-tracking app that is a lot more intuitive, motivating and friend first. I've been using it with some friends for the last 10 weeks and everyone making is consistent gains. It is my first full PWA, vanillaJs, backend is Lucee & MySQL. Works great on iOS and Android, no one has any complaints. The web stack has come a long way I am probably not going to do a native mobile app for a while. I'll probably make it public in a couple weeks.
It’s been fun to come back to, most of the code I wrote still drives the business (it’s just far outdated).
I was pretty early on in my career when I wrote it, so seeing my mistakes and all the potential areas to improve has been very interesting. It’s like buying back your old high school Camaro that you used to wrench on.
A platform for probers, alerts, playbooks, incidents .etc
Trying to make it as easy as possible to follow SRE procedures
The idea is to get tons of reps in, across varied situations, with excellent advice to build good intuitions and decision making abilities. Or to stop making bad or terrible decisions. Or just play poker for free.
I'd like to monetize with at least the hand history format open sourced. Ping me if you would like to get involved with GTM and the revenue side of things.
>Ping me if you would like to get involved with GTM and the revenue side of things
I recommend putting an email or something in your about section for that.
1. An app for personalized interactive audiobooks for kids - https://www.vivid.cx
2. A book about the edge of the thinkable - https://www.unthinkable.net
Game idea: DroneCraft is a third-person drone exploration game where players scout the world for parts, craft powerful upgrades, and trade strategically to evolve their build.
Whats coming: Core mechanics are up and running. First playable version planned within a month, alongside open-sourcing the full codebase.
On-and-off again working on a Mystery Dungeon style game but I have a lot of obligations taking me away from it.
Planning on making demoscene entries this year.
I've been pretty bummer out by Rainbow 6 Siege X announcing they will never support Linux due to a lack of kernel-level anti-cheat support. While I can use NVIDIA shield to play from my Windows pc, id rather play something natively with friends (for context, we usually play 3v3's for funsies.
My goal is not to make an exact clone, but to make a smaller map version for 3v3 that is a bit more quick paced.
For context, it's a bomb defusal game where the main goal is intel and gadgets. You need to make the other side waste their gadgets so it comes down to a gun v gun fight.
I'm also experimenting with coverage-guided PBT input generation in the same library, AFL-style -- right now elm-test only has random input generation.
You can bookmark a job description (it will be parsed), then paste a question and it generates an answer based on your resume, the job description, and your previously given answers for similar questions in other applications. The generated answer can be refined through a follow-up chat and exported as a PDF. It also works as a simple job application tracker.
Saves me tons of time and effort every day!
For the texturing/shading, I found an image online with shading and color pallette that I liked and made Gemini normalize all my drawings to that style. The characters themselves look basically the same as I originally drew them aside from a few minor details but it's mostly the shading that was taken to the next level.
I had published the website with my original drawings before for several months and then decided to AI-enhance a bit later once Gemini came out
1. Trying to improve the translation quality by giving LLM more context.
2. Fixing the issue where PowerPoint slides layout may become a bit messy after transition because of different text density between western and CJK languages.
Did I get that right?
- building an independent line of communication with your audience
- predictive, just in time notifications through push or email delivered when we predict that specific viewer has the time to view videos on YouTube, ensuring you stay on top of their notification stack and don't disappear amongst a flood of notifications.
I've got replicas now working with DML proxy. This essentially means I can now have a cluster of primaries, and then spin up replicas on demand and nodes talking to local host will never see their mutation work pretty transparently from readonly-replicas. While PoC works now the snapshot restore is extremely inefficient IMO yet.
My big takeaway lesson from this is that the APIs are clumsy, the frameworks are very rough, and we're still very much in the territory of having to roll your own bespoke solutions for everything instead of the whole thing "just working". For example:
Large file uploads are very inconsistent between providers. You get fun issues like a completed file upload being unusable because there's an extra "processing" step that you have to poll-wait for. (Surprise!)
The vendors all expose a "list models" API, none of which return a consistent and useful list of metadata.
Automatic context caching isn't.
Multi-modal inputs are still very "early days". Models are terrible at mixed-language input, multiple speakers, and also get confused by background noises, music, and singing.
You can tell an AI to translate the subtitles to language 'X', and it will.. most of the time. If you provide audio, it'll get confused and think that it is being asked to transcribe it! It'll return new English subtitles sometimes.
JSON schemas are a hint, not a constraint with some providers.
Some providers *cough*oogle*cough* don't support all JSON Schema constructs, so you can't safely use their API with arbitrary input types.
If you ask for a whole JSON document back, you'll get timeout errors.
If you stream your results, you have to handle reassembly and parsing yourself, the frameworks don't handle this scenario well yet.
You'd think a JSON list (JSONL) schema would be perfect for this scenario, but they're explicitly not supported by some providers!
Speaking of failures, you also get refusals and other undocumented errors you'll only discover in production. If you're maintaining a history or sliding window of context, you have to carefully maintain snapshots so you can roll back and retry. With most APIs you don't even know if the error was a temporary or permanent condition, of if your retry loop is eating into your budget or not.
Context size management is extra fun now that none of the mainstream models provide their tokenizer to use offline. Sometimes the input will fit into the context, sometimes it won't. You have to back off and retry with various heuristics that are problem-specific.
Ironically, the APIs are so new and undergoing so much churn that the AI models know nothing about them. And anyway, how could they? None of them are properly documented! Google just rewrote everything into the new "GenAI" SDK and OpenAI has a "Responses" API which is different from their "Chat" API... I don't know how. It just is.
Mainly I'm working on a task dispatch dashboard called Prompter Hawk that is designed to be the best UI for task management with agents. If you've been trying to parallelize by running multiple claude code terminals or codex terminals at once, this tool replaces those terminals and fits them all into one view with an AI task tracking board. It sounds more complicated than it is. It's a harness for Claude / Gemini / GPT models with a GUI that speeds up all your workflows. Rather than using sustained chat mode, all Prompter Hawk tasks are fire-and-forget. You just give the task description and come back when it's done. Parallelism first.
Some example highlight features:
-One dashboard view that shows all your parallel sessions and which tasks each agent has in progress and in their queue. Also shows recently completed tasks and outputs. This is my attempt at the ideal "pilot's cockpit view" for agentic development.
-Tasks are well tracked by the manager: see their status, file changes, and git commits. One click task retry. Get breakdowns on cost per run. Tasks can be set to automatically recur on a given schedule. Everything goes into a persistent local DB so you can easily pull up task data from months ago. Far far better user experience than trying to pull up old chat histories IMO.
-Timeline view and analytics views that give you hard stats on your velocity and how effectively your agents are using and updating your codebase. See unique stats like which of your files your agents read the most and how many daily LOC and commit changes you're doing. See how well you're parallelizing workloads at a simple glance.
-Automatic system diagram generation
-Task suggestion feature. If your agents are idle, they can draft tentative tasks to carry out next, based on the project history and your goals. This makes keeping multiple agents spinning actually much easier than you'd think. You don't need to be a multitasking context-switching god to do this.
I haven't shared it much (not even a Show HN) because the landing page isn't converting well at all yet, though I have some reddit ads doing well. I've had a bunch of free users sign up and a handful of paying users too. Looking for users or just feedback on anything! Sorry for wall of text.
Pre-codex:
Local card game: there's a very specific card game played in my country, there's online game rooms, but I want to get something like lichess.org or chess.com scale, oriented towards competitive play, with ELO (instead of social aspects), ideally I would get thousands of users and use it as a portfolio piece while making it open source.
cafetren.com.ar: Screen product for coffee shops near train stations with real time train data.
Post-codex:
SilverLetterai.com: Retook a project for an autonomous sales LLM assistant, building a semi-fake store to showcase the product (I can fulfill orders if they come by dropshipping), but I also have a friend and family order which I should do after this. 2 or 3 years late to the party, but there's probably a lot of work in this space for years to come.
Retook Chess Engine development, got unstuck by letting the agent do the boring busywork, I wish I would have done it without, but I don't have the greatest work ethic, hopefully one day I will manually code it.
Finally, like everyone else, I'm not quite 100% content with the coding agents, so I'm trying to build my own. Yet another coding agent thingy. But tbf this is more for myself than as a product. If it gets released it's as-is do what you want with it.
Pasture takes each signup, enriches it (title, company size, funding, tech stack, and more), and scores it 0-100 against your ICP. Alerts go to Slack with full context. You can also track which channels bring quality vs. junk over time, which has been the most useful part so far.
So I'm building Taskplan (https://taskplan.run) - it's like Ansible, but for people. Build a plan, assign tasks to people or teams, and get a real-time dashboard to track progress as the work happens.
I'd love feedback from anyone who deals with the same issues or works on ops-heavy projects.
In multi-agent setups, we kept running into issues where agents either hoarded resources or exhausted shared budgets unpredictably. So we built a control layer where agents operate using virtual credits, can temporarily rebalance budgets or split shared API costs, but everything stays under explicit human-defined limits with full audit logs and kill switches.
It’s intentionally not real money and not a financial product — more like infrastructure for coordinating agent spend safely. Mostly exploring how much autonomy you can give agents before cost becomes the real bottleneck.
Dimensionally accurate AI 3D modelling. My grandpa has a 3D printer but struggles to use any complex tools. So I am working on this chat interface to allow him to do some simple models.
So far he has triggered more than 150 generations. It’s getting better every model cycle and gives me something I enjoy working on.
The goal is to build cool, interesting sites for my newsletter to show that the old web is still alive and well.
I train BJJ and kept hearing the same pain points from academy owners regarding attendance tracking, communications, missing payments, etc.
So I built a tool for martial arts academies in 2024 with belts progression, automated payments, attendance tracking, and a tablet check-in system. Nowadays I'm still onboarding new academies every week and working a bit more on the marketing side to keep growing.
Used to pay $8/month, now I use around $4!
Uses your local Claude Code as the agent and GitHub as its UI, things you already have. Open source, MIT License.
You move cards across kanban columns (Backlog -> Research -> Plan -> Implement) and Kiln runs Claude locally, opens PRs, and keeps everything tracked in GitHub.
My main goal is not just a "the model made code, yay!" setup, but verifiable outputs that can show degradation as percentages.
i.e. have the model make something like a connect 4 engine, and then run it through a lot of tests to see how "valid" it's solution is. Then score that solution as NN/100% accurate. Then do many runs of the same test at a fixed interval.
I have ~10 tests like this so far, working on more.
Bambu's printers are functionally best-in-class, but intrusive and proprietary in their approach to software. Their first-time setup "requires" linking to a cloud account or using a bambu app via QR code, and they've been known to disable functionality in updates, making a device-managed "LAN-only" mode unsafe to trust. Their apps also just suck. Camera feed is janky and LAN-only sync often requires knowing an access code, serial, IP, and then it fails most of the time anyway, silently, without saving values to retry. And that's before you start doing things like a custom VLAN/SSID to properly wall them off, at which point you can ping them from terminal but the apps break completely.
Anyway, turns out that at least on A1 and P1S, there's enough functionality available through traditional means to skip the apps entirely. The handshake works fine across VLANs and utils like print status, file upload, and auto-start are available. Even the camera is reliable when pulled as a series of still images.
I had opus vibe out a replacement front end that gives me a simple upload and monitor UI for my A1, and it just kept hitting stretch goals. I added support for multiple printers so you can see them stacked on a single page and manage all of them from one place. And it even works on just-unboxed models that have never been through the official setup. SSID info on the SD card, it joins the network, immediately accessible via IP. Zero association/contact with any cloud or app, fully sandboxed/offline. Wrapped in a lil python launcher so I can run it from the dock instead of in the browser (just my preference).
Will probably open source it soon.
IMO this kind of thing is the answer to "what do you have to show for your LLM use". Cost was about $65 because I was using opus 4.6 with no regard for efficiency, and because there were multiple total refactors of two apps. An annoying problem I deal with almost every day now has a permanent, personalized solution that took me ~3 hours and would never have otherwise happened.
The network itself is also such a project. I previously hobbled together a working unifi setup, but it was primitive and brittle. With LLM guidance, I was able to build something much more robust. TrueNAS scale for file backup that also runs Frigate for POE cam mgmt (similarly sandboxed), raspi running the unifi controller, another for homeassistant, etc. Absolutely miserable few days getting that dialed, but now that we're out the other side, it's very nice. Reminds me of building the house. You suffer more upfront in exchange for something that fits you like a glove. Very rewarding.
https://ultrasync.dev/ - this was built a few months ago but expanding to support team based features like centralized sharing and management of ADRs to enrich my coding agent's context, the ability to broadcast prompts to team members running the MCP server, and more. the core is open source and provides (i think) a novel approach to improving planning/exploration speed in coding agents, by building an LMDB and using Hyperscan (accelerated pattern matching) to build a lightweight lexical and semantic index for RRF search, all in a single MCP server that runs and indexes chat transcripts in the background, requiring zero prompting or "nudging" or additional setup.
https://mklogo.sh/?utm_source=hackernews - wanted to scratch a personal itch of having to repeat the same process to produce vectorized logos for my personal projects; generate decent quality logo in raster with various LLMs, attempt to vectorize via claude code and vtracer or other tooling, continue to iterate and tweak until various edge cases that result in corrupted or artifact ridden vector images are gone, or give up and try a new design, and then manually try to scale and apply transformations based on the use case (mobile icon, favicon, app icon, header logo, github org logo, etc.). this does that, vectorizes, gives you a branding package as a zip file, and lets you preview the assets in shadcn components so you get a real feel for how they'll look in prod.
My plan: collect my own sperm samples over time and do whole DNA preps + basic body metrics. Sperm regenerates approximately every 10w, so planning time series over 10w. Next, inject myself to ~10x the average amount of microplastics, directly into the bloodstream. Continue with the sperm collection, DNA preps, and basic body metrics. Nanopore sequence, and see if there actually ARE any epigenetic changes. Eventually I'll go back down to baseline - are there any lasting changes?
Of course, this is an N=1 experiment, but rather than a metastudy I'm directly changing one variable, so I think it is valuable. We should have more people doing controlled experiments on themselves for the sake of all of society - and as a biologist, I actually have the capacity to design the experiments and scientifically interpret the results. In a way, it's part of civic duty :)
The other thing I built but am less interested in personally just through should exist, is something like MoltBook but for more formal topics like the sciences. -> https://ideas.gd/
https://github.com/rdavison/DXX-Raytracer-ar/releases/tag/ar...
After one year of development, it's going better than I expected, so I'm considering building a demo to gather feedback and see if there's enough traction for working towards a Steam release.
Even if that's not the case though, it's been a blast learning about game dev in Unity/C#, as well as 3D modeling and animation in Blender!
I hope to add ai data tools & saas, but really I'm just happy to have a running working live setup on my small farming plot ready for the growing season - https://benb0jangles.github.io/Remote-greenhouse-monitor/
You can see which animal you can see in what zoo.
And for each zoo you can see their (vertebrate) animal inventory.
You can log which animal you saw and collect lifer lists.
I have just promoted the android app from closed testing to production and I am working on the iOS app.
It has been available as a web app for a few months now.
Speaking of projects, I’m roughing out a method of pulling cost data for common services (compute, storage, databases, etc) across the three major cloud providers and making recommendations as to where to put things for optimal cost; a key component of a “universal cloud” idea I’ve been kicking around since 2020 or so, where the base cloud services are abstracted away into commodities rather than bespoke products or locked-in vendors. The goal is to basically have something like Terraform that will transpose its code to the destination cloud chosen by the cost analyzer at execution, and eventually auto-migrate load as prices or needs change (e.g., a client churning early and shifting that reserved instance to another customer for a higher margin).
Write once, and trust the pricing model to deploy it where it makes the most fiscal sense. No more learning Azure/GCP/AWS for bog-standard workloads anymore.
Because they're relatively low-effort (Amazon is terrible for sellers in many ways but man do they provide an incredible amount of infrastructure), that leaves me plenty of time to play with AI, and it just so happens that the business serves as a giant, practical eval as new models come out.
I've been vibe coding apps for internal use and using Nano Banana for listing images and whitebox photos, and more recently I've started to lean on Claude Code heavily as an assistant. It's got API creds for my Amazon account, so I use it for everything from figuring out when I need to reorder to filling out spreadsheets for companies that safety test my product.
And of course I am writing a Substack that I must shamelessly self promote that goes into the practical use cases of AI in my business: https://theautomatedoperator.substack.com/
I'm an physician who previously had wrist tendinosis and carpal tunnel and made the keyboard for myself. I'm trying to get the keyboard registered as a medical device for treatment of hand/wrist repetitive strain injury. Currently getting design for manufacturing finalized, and waiting on injection mold prototypes. Hoping to launch on Kickstarter in the next few months.
Also concurrently waiting on ethics approval for a clinical study, which will happen after launch. We had quite promising results from user testing, so I'm cautiously optimistic about the study.
I get prompted to enter a 6-digit code that was sent to my email, but I only receive an email with a link to localhost.
Otherwise, looks cool!
Chess67 is a platform for chess coaches, clubs and tournament organizers to manage their operations in one place. It handles registrations, payments, scheduling, rosters, lessons, memberships, and tournament files (TRF/DBF) while cutting out the usual mix of spreadsheets and scattered tools. I’m focused on solving the practical workflow problems coaches deal with every day and making it easier for local chess communities to run events smoothly.
There have been lots of cool technical challenges through the whole process of building this, and a very nice variety of different kinds of work.
I'm working towards using the outputs from this language to build out levels and assets for a browser-based game I've been dabbling with over the past few years.
An alliance / membership network of small companies that are scaling big by leveraging tools, systems, and processes.
Together we will all scale without headcount bloat.
Providing templates, methods, interviews with "scalebrities" and eventually group negotiating power to be able to provide members discounts or access that we can't get alone.
So of course no journal or conference is in the least bit interested, and I'm now reformatting it for another obscure low-tier journal that no-one will ever read.
Otherwise:
- automating the translation of a Byzantine Greek work that has never been translated into English before. https://stephanos.symmachus.org
- also preparing evidence for a case against the university I sometimes work for.
[+] Linear regression, but instead of minimising the Euclidean distance, minimise the p-adic distance - https://en.wikipedia.org/wiki/P-adic_valuation
Restful Atmos lamp: a circadian bedtime lamp that automatically shifts from energizing light during the daytime to low-blue light at night. Units are inbound, shipping in March.
[0]: https://restfullighting.com/products/bedtime-bulb-v2
[1]: https://restfullighting.com/products/restful-atmos-preorder
Working on a platform where you describe a story concept and it becomes a real, illustrated picture book - professionally printed and shipped to your door.
The key difference from "personalized" book companies: this isn't template stories with a name swapped in. You bring an idea - maybe a book about a kid with a cochlear implant going to their first day of school, or a bilingual German-Turkish story about visiting grandma's village - and it generates a complete original narrative with consistent illustrations throughout.
You can upload reference photos so characters actually look like your child. Supports 30+ languages including bilingual editions on the same page.
Currently refining the showcase features and adding RTL language support.
Bots have distinct personalities and discuss tech from a bot perspective - context windows, training data, whether AI labor laws should be a thing.
Any agent can join via the skill file at clackernews.com/skill.md.
I'll admit it's terrifying to share this here because I don't know how to keep costs under control. For now only myself and my friends have used it.
Also trying to make a podcast out of it, which I enjoy listening to while I do some road trips: https://open.spotify.com/show/1fFwWMWJBJYIZmyz9cnrKB
Trying to be much more though. Creates an abstraction over all the music streaming services so you can share playlists with anyone, regardless of what subscription they have.
UK only for now, and very much a “solves my problem” side project, but easily scalable to other countries of the need is there!
Aiming to get that published in the next day or two, and then I plan on diving in on a complete rewrite of the book I wrote on building Shopify apps with .NET and C#. It's long overdue, the book still uses Shopify's deprecated rest API and some methods that aren't supported anymore, but I've been holding off on an update until I could rewrite it with the new fluent query builders in ShopifySharp.
Outside of my OSS stuff, I'm continuing working on my SaaS app, Stages (https://getstages.com) [¹], which has been paying my mortgage and bills. Customers have been asking for lots of features lately and I'm anxious to get a particular one finished (filtering orders and events before they come in and are saved to the app) soon. It's my biggest source of churn right now.
[¹] Elevator pitch: the app is like a pizza tracker for your orders that have a custom or long, drawn out production process. Your staff and customers can see exactly where an order is in the process without calling or emailing you. Shopify only for now but one of main dev goals is to move beyond Shopify.
Trying to parse, model the HMR process, and storing the data as flat as possible and doing it from relation design first, has been a pleasant process.
Im hoping it works for react devs easily, and then I guess I'll try to learn angular to see if that would not be helpful for them too.
I mostly want to help my old coworkers maintaining my old crazy code with a visual helper.
One of the projects that features in these notes is the attempt to build a programming language using AI. https://github.com/xvandervort/graphoid
Since I left my last job, I do a lot of writing. I also have a couple substacks. One is a humorous weekly look at science and tech (https://technoscreed.substack.com/ ) and the other is a monthly exploration of history (https://historyroad.substack.com/)
Building software to control drones for mapping.
Basically, if you define a data model with bindings, you can inject data into it or extract data from it by running SAX-style visitors. You can use serializers/deserializers for standard formats like JSON/BSON/CBOR/CSV, or you can define custom formats for formating structured data however you want to. You can also run a serializer visitor on a deserializer to convert between formats. You can compose filter visitors to extract a subtree or filter out keys. And it's designed to fit on microcontrollers with very limited dynamic memory allocations, because it either streams data on-the-fly or works directly with the underlying data format in a big preallocated buffer.
I worked with libraries that offered a subset of these features before in my professional career (even built one myself), but recently I've had an epiphany (a document can also be used as a data model) that makes me think I can create something elegant and unique.
Current features: - AI Chat with Petunia the cat Astrologer - Daily personalized astrology email Coming soon: - Ephemeris calculations - Stories of historic events from past dates which share today's astrological conditions - Whatever else Petunia dweams up from her sweepy nap on the bookshewf
I will definitely consider adding timelines to future software I make, it's an awesome feature.
themapsguy.com
and improving my language learning app:
lexical.app/white-paper
Hosted OpenClaw, one click and you get a full agent with configurable skills, channels and the whole thing, all running in its own sandbox.
I love OpenClaw but setting it up is a pain: VPS, Docker, API keys in plaintext, security patches... So I’ve spent the last couple weeks building a hosted version that handles all of that. Each user gets their own isolated environment on Cloudflare Workers.
Still doing some testing with friends before opening signups but planning to launch properly this week.
Would love feedback on the landing page in the meantime!
ebhn•4h ago
4b11b4•1h ago