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Tesla turbine-inspired structure generates electricity using compressed air

https://techxplore.com/news/2026-01-tesla-turbine-generates-electricity-compressed.html
1•PaulHoule•57s ago•0 comments

State Department deleting 17 years of tweets (2009-2025); preservation needed

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
1•sleazylice•1m ago•1 comments

Learning to code, or building side projects with AI help, this one's for you

https://codeslick.dev/learn
1•vitorlourenco•1m ago•0 comments

Effulgence RPG Engine [video]

https://www.youtube.com/watch?v=xFQOUe9S7dU
1•msuniverse2026•3m ago•0 comments

Five disciplines discovered the same math independently – none of them knew

https://freethemath.org
1•energyscholar•3m ago•1 comments

We Scanned an AI Assistant for Security Issues: 12,465 Vulnerabilities

https://codeslick.dev/blog/openclaw-security-audit
1•vitorlourenco•4m ago•0 comments

Amazon no longer defend cloud customers against video patent infringement claims

https://ipfray.com/amazon-no-longer-defends-cloud-customers-against-video-patent-infringement-cla...
1•ffworld•4m ago•0 comments

Show HN: Medinilla – an OCPP compliant .NET back end (partially done)

https://github.com/eliodecolli/Medinilla
2•rhcm•7m ago•0 comments

How Does AI Distribute the Pie? Large Language Models and the Ultimatum Game

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6157066
1•dkga•8m ago•1 comments

Resistance Infrastructure

https://www.profgalloway.com/resistance-infrastructure/
2•samizdis•12m ago•0 comments

Fire-juggling unicyclist caught performing on crossing

https://news.sky.com/story/fire-juggling-unicyclist-caught-performing-on-crossing-13504459
1•austinallegro•13m ago•0 comments

Restoring a lost 1981 Unix roguelike (protoHack) and preserving Hack 1.0.3

https://github.com/Critlist/protoHack
2•Critlist•14m ago•0 comments

GPS and Time Dilation – Special and General Relativity

https://philosophersview.com/gps-and-time-dilation/
1•mistyvales•18m ago•0 comments

Show HN: Witnessd – Prove human authorship via hardware-bound jitter seals

https://github.com/writerslogic/witnessd
1•davidcondrey•18m ago•1 comments

Show HN: I built a clawdbot that texts like your crush

https://14.israelfirew.co
2•IsruAlpha•20m ago•2 comments

Scientists reverse Alzheimer's in mice and restore memory (2025)

https://www.sciencedaily.com/releases/2025/12/251224032354.htm
1•walterbell•23m ago•0 comments

Compiling Prolog to Forth [pdf]

https://vfxforth.com/flag/jfar/vol4/no4/article4.pdf
1•todsacerdoti•24m ago•0 comments

Show HN: Cymatica – an experimental, meditative audiovisual app

https://apps.apple.com/us/app/cymatica-sounds-visualizer/id6748863721
1•_august•26m ago•0 comments

GitBlack: Tracing America's Foundation

https://gitblack.vercel.app/
3•martialg•26m ago•0 comments

Horizon-LM: A RAM-Centric Architecture for LLM Training

https://arxiv.org/abs/2602.04816
1•chrsw•26m ago•0 comments

We just ordered shawarma and fries from Cursor [video]

https://www.youtube.com/shorts/WALQOiugbWc
1•jeffreyjin•27m ago•1 comments

Correctio

https://rhetoric.byu.edu/Figures/C/correctio.htm
1•grantpitt•27m ago•0 comments

Trying to make an Automated Ecologist: A first pass through the Biotime dataset

https://chillphysicsenjoyer.substack.com/p/trying-to-make-an-automated-ecologist
1•crescit_eundo•31m ago•0 comments

Watch Ukraine's Minigun-Firing, Drone-Hunting Turboprop in Action

https://www.twz.com/air/watch-ukraines-minigun-firing-drone-hunting-turboprop-in-action
1•breve•32m ago•0 comments

Free Trial: AI Interviewer

https://ai-interviewer.nuvoice.ai/
1•sijain2•32m ago•0 comments

FDA intends to take action against non-FDA-approved GLP-1 drugs

https://www.fda.gov/news-events/press-announcements/fda-intends-take-action-against-non-fda-appro...
23•randycupertino•33m ago•14 comments

Supernote e-ink devices for writing like paper

https://supernote.eu/choose-your-product/
3•janandonly•36m ago•0 comments

We are QA Engineers now

https://serce.me/posts/2026-02-05-we-are-qa-engineers-now
1•SerCe•36m ago•0 comments

Show HN: Measuring how AI agent teams improve issue resolution on SWE-Verified

https://arxiv.org/abs/2602.01465
2•NBenkovich•36m ago•0 comments

Adversarial Reasoning: Multiagent World Models for Closing the Simulation Gap

https://www.latent.space/p/adversarial-reasoning
1•swyx•37m ago•0 comments
Open in hackernews

Show HN: Eze – AI co‑pilot that turns startup ideas into execution roadmaps

https://eze.lovable.app/
1•foolmarshal•1mo ago
Hi HN,

I’m working on eze, an AI‑powered co‑pilot that turns a raw startup idea into a visual, time‑bound execution roadmap.

It’s not live yet; I’m building it in parallel and wanted to test the waters before going too deep.

Shipping a product has become dramatically easier. With modern AI and “vibe‑coding” tools, a solo dev can stand something up in a weekend.

What hasn’t changed is the "execution planning":

Figuring out what to do, in what order, and why still means endless blog posts, podcasts, videos, and conflicting advice.

Most guidance assumes experience, capital, or a team that many first‑time/solo founders don’t have.

The result is messy Notion pages, random diagrams, and a constant feeling of “I’m probably missing something important.”

That gap—between being able to build and knowing how to execute—is what eze is trying to address.

The vision for eze:

  - You describe your idea in a chat: problem, target user, B2B/B2C, SaaS/dev‑tool/etc.

  - You add context: Where you are now (student, full‑time job, already building, solo vs team).

  - Resources (time per week, money, people).

  - Target launch horizon (1/3/6 months, etc.).
eze generates a visual roadmap:

  - Stages like validation, MVP, GTM, launch, post‑launch, scaling.

  - Milestones with dependencies and brief descriptions.

  - Each milestone is editable, trackable, and can have notes/due dates.

  - You’d get this as an interactive diagram (boxes and arrows), not just a wall of text. 
Over time, the plan becomes a guided, time‑bound execution view you can actually work against.

The longer‑term idea is for the AI to increasingly learn from real founder journeys and well‑known startup frameworks, so the recommendations are practical rather than generic checklists.

Right now, this is under active development. I have early prototypes of:

  - Chat → structured roadmap representation

  - Diagram‑style UI concepts

  - Basic milestone/status model
Before going further, I’d like to know if this is solving a real problem for the kind of people who hang out here.

I’d love your honest take on any of these:

  - Is this actually useful, or just a shiny toy?

  - What would it need to do for you to trust it enough to plan a real project?

  - What’s obviously missing, naïve, or over‑complicated?

  - Should I narrow it to a specific niche (e.g., dev‑tools/SaaS only) or scrap the idea altogether?
If this resonates and you’d like to see it evolve, there’s a simple waitlist here:

join waitlist here - https://eze.lovable.app/

Otherwise, any blunt feedback in the comments is extremely welcome. I’d rather course‑correct (or kill it) early than build something that only looks good in demos.

Comments

fieldops•1mo ago
I feel the like broader the better but why the waitlist? This feels like more of an impulse that id i saw this on an instagram ad i might try it. How do you plan to. Monetize?
foolmarshal•1mo ago
i didn't quite understand the first part of question. but i'll try to answer what I think you wanted to ask.

1. why waitlist - to gauge the audience and demand of the solution which the product is addressing and to check how many people resonate with the problem statement and is it even worth the build a solution around it.

2. impulse & instagram ad - i do not visualize eze as a "1 time utility app" or "i saw it on IG, lets try it out once" kinda app. i visualize eze as an integral part of startup building suite which founders can use to streamline ambiguous next steps in startup building journey and keep track of tasks at each milestone.

3. Monetization - subscription based model. different tiers with different offerings based on use-case and how much of "ambiguity and disorganized learnings" you're willing to offload to eze.