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1•vasanthv•1m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•4m ago•0 comments

Long-Sought Proof Tames Some of Math's Unruliest Equations

https://www.quantamagazine.org/long-sought-proof-tames-some-of-maths-unruliest-equations-20260206/
1•asplake•5m ago•0 comments

Hacking the last Z80 computer – FOSDEM 2026 [video]

https://fosdem.org/2026/schedule/event/FEHLHY-hacking_the_last_z80_computer_ever_made/
1•michalpleban•6m ago•0 comments

Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•7m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
1•mitchbob•7m ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•8m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•8m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•11m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•15m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•15m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
2•tosh•20m ago•1 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•21m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•22m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•25m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•27m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•28m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•28m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•28m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•30m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•31m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•34m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•36m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•36m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•37m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•40m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
5•sakanakana00•43m ago•1 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•45m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
4•Tehnix•46m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•47m ago•1 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)