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Towards Self-Driving Codebases

https://cursor.com/blog/self-driving-codebases
1•edwinarbus•39s ago•0 comments

VCF West: Whirlwind Software Restoration – Guy Fedorkow [video]

https://www.youtube.com/watch?v=YLoXodz1N9A
1•stmw•1m ago•1 comments

Show HN: COGext – A minimalist, open-source system monitor for Chrome (<550KB)

https://github.com/tchoa91/cog-ext
1•tchoa91•2m ago•0 comments

FOSDEM 26 – My Hallway Track Takeaways

https://sluongng.substack.com/p/fosdem-26-my-hallway-track-takeaways
1•birdculture•2m ago•0 comments

Show HN: Env-shelf – Open-source desktop app to manage .env files

https://env-shelf.vercel.app/
1•ivanglpz•6m ago•0 comments

Show HN: Almostnode – Run Node.js, Next.js, and Express in the Browser

https://almostnode.dev/
1•PetrBrzyBrzek•6m ago•0 comments

Dell support (and hardware) is so bad, I almost sued them

https://blog.joshattic.us/posts/2026-02-07-dell-support-lawsuit
1•radeeyate•7m ago•0 comments

Project Pterodactyl: Incremental Architecture

https://www.jonmsterling.com/01K7/
1•matt_d•7m ago•0 comments

Styling: Search-Text and Other Highlight-Y Pseudo-Elements

https://css-tricks.com/how-to-style-the-new-search-text-and-other-highlight-pseudo-elements/
1•blenderob•9m ago•0 comments

Crypto firm accidentally sends $40B in Bitcoin to users

https://finance.yahoo.com/news/crypto-firm-accidentally-sends-40-055054321.html
1•CommonGuy•10m ago•0 comments

Magnetic fields can change carbon diffusion in steel

https://www.sciencedaily.com/releases/2026/01/260125083427.htm
1•fanf2•10m ago•0 comments

Fantasy football that celebrates great games

https://www.silvestar.codes/articles/ultigamemate/
1•blenderob•10m ago•0 comments

Show HN: Animalese

https://animalese.barcoloudly.com/
1•noreplica•11m ago•0 comments

StrongDM's AI team build serious software without even looking at the code

https://simonwillison.net/2026/Feb/7/software-factory/
2•simonw•11m ago•0 comments

John Haugeland on the failure of micro-worlds

https://blog.plover.com/tech/gpt/micro-worlds.html
1•blenderob•12m ago•0 comments

Show HN: Velocity - Free/Cheaper Linear Clone but with MCP for agents

https://velocity.quest
2•kevinelliott•13m ago•2 comments

Corning Invented a New Fiber-Optic Cable for AI and Landed a $6B Meta Deal [video]

https://www.youtube.com/watch?v=Y3KLbc5DlRs
1•ksec•14m ago•0 comments

Show HN: XAPIs.dev – Twitter API Alternative at 90% Lower Cost

https://xapis.dev
2•nmfccodes•15m ago•1 comments

Near-Instantly Aborting the Worst Pain Imaginable with Psychedelics

https://psychotechnology.substack.com/p/near-instantly-aborting-the-worst
2•eatitraw•21m ago•0 comments

Show HN: Nginx-defender – realtime abuse blocking for Nginx

https://github.com/Anipaleja/nginx-defender
2•anipaleja•21m ago•0 comments

The Super Sharp Blade

https://netzhansa.com/the-super-sharp-blade/
1•robin_reala•22m ago•0 comments

Smart Homes Are Terrible

https://www.theatlantic.com/ideas/2026/02/smart-homes-technology/685867/
1•tusslewake•24m ago•0 comments

What I haven't figured out

https://macwright.com/2026/01/29/what-i-havent-figured-out
1•stevekrouse•25m ago•0 comments

KPMG pressed its auditor to pass on AI cost savings

https://www.irishtimes.com/business/2026/02/06/kpmg-pressed-its-auditor-to-pass-on-ai-cost-savings/
1•cainxinth•25m ago•0 comments

Open-source Claude skill that optimizes Hinge profiles. Pretty well.

https://twitter.com/b1rdmania/status/2020155122181869666
3•birdmania•25m ago•1 comments

First Proof

https://arxiv.org/abs/2602.05192
8•samasblack•27m ago•3 comments

I squeezed a BERT sentiment analyzer into 1GB RAM on a $5 VPS

https://mohammedeabdelaziz.github.io/articles/trendscope-market-scanner
1•mohammede•28m ago•0 comments

Kagi Translate

https://translate.kagi.com
2•microflash•29m ago•0 comments

Building Interactive C/C++ workflows in Jupyter through Clang-REPL [video]

https://fosdem.org/2026/schedule/event/QX3RPH-building_interactive_cc_workflows_in_jupyter_throug...
1•stabbles•30m ago•0 comments

Tactical tornado is the new default

https://olano.dev/blog/tactical-tornado/
2•facundo_olano•32m ago•0 comments
Open in hackernews

Show HN: ThinkTotem – turn boring books into engaging conversations

https://thinktotem.com
1•ccarnino•7mo ago
Hi HN, I love reading non-fiction, but I kept catching myself skimming, zoning out, and forgetting most of what I’d “read”. To fix that I built ThinkTotem, a small web app that lets you upload a PDF/EPUB/article/YouTube link and then chat with the material until you actually understand it.

What it does

- Ingests PDFs, EPUBs, Word docs, plain-text URLs and even YouTube transcripts (≤ 4 MB for now)

- Maps key ideas, trims filler and surfaces the essential concepts automatically

- Runs an active-recall loop: Socratic questions, explain-it-back prompts, spaced-repetition style refreshers

- Tracks mastery so you can skip, revisit or move on

Why not just use ChatGPT/Claude?

- General LLM chat is open-ended: you have to decide what to ask next.

- ThinkTotem is purpose-built for reading: short conversational loops keep attention, progress is visible, and the questions are sequenced to test retention rather than entertain.

How it works under the hood

- Document is paraphrased, chunked, metadata, summaries and questions are created, and stored in Postgres

- Every chat turn includes in the context the most relevant part of the current chapter, the summary of the book and the last messages (no vectorisation of the content needed)

- A small policy model classifies each turn (summary vs. question vs. recall) so the chat stays focused.

- A spaced-repetition scheduler writes “due” concepts back into the queue and surfaces them at the right time.

- User voice is transformed into text and LLM generated text is transformed into speech with OpenAI TTS/STT models

- All LLM logic runs server-side (Next.js app); the front end is Next.js with React Server Components.

Pricing / openness

There’s a free tier (3 uploads, 1 h chat, 50 messages) plus paid plans that just scale limits-no feature gating.

Costs

- Ingestion (Gemini Flash): ~30 s per 300-page PDF, $0.05–$0.10.

- Conversation (OpenAI TTS): ≈$0.40 per user-hour. Nothing is optimised yet; these two items dominate my bill.

Privacy

I delete originals after processing, just derivative work of it gets stored (e.g. summaries). I never feed your documents into model training and you can purge processed content at any time.

What’s missing / known issues

- 4 MB per-file cap-larger uploads are on the roadmap

- No org accounts yet; “Ultra” plan lets teams share a single login until then

- Conversation UX on mobile is still not state of the art (mobile Safari disables audio/mic when not in use for a few seconds, so UX is limited)

Ask

- Does the active-recall flow feel helpful or annoying?

- What would you need in the product to become a daily user?

Live demo

The app is live at https://thinktotem.com (no credit card needed).

I’ll be online all day-happy to answer anything, share infra costs (TTS is crazy expensive), or dive into the ingestion process.

Thanks for reading, -Claudio (solo maker, UTC+1)