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minikeyvalue

https://github.com/commaai/minikeyvalue/tree/prod
2•tosh•4m ago•0 comments

Neomacs: GPU-accelerated Emacs with inline video, WebKit, and terminal via wgpu

https://github.com/eval-exec/neomacs
1•evalexec•9m ago•0 comments

Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
2•ShinyaKoyano•13m ago•1 comments

How I grow my X presence?

https://www.reddit.com/r/GrowthHacking/s/UEc8pAl61b
2•m00dy•14m ago•0 comments

What's the cost of the most expensive Super Bowl ad slot?

https://ballparkguess.com/?id=5b98b1d3-5887-47b9-8a92-43be2ced674b
1•bkls•15m ago•0 comments

What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
3•okaywriting•22m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
2•todsacerdoti•25m ago•0 comments

Show HN: Gorse 0.5 – Open-source recommender system with visual workflow editor

https://github.com/gorse-io/gorse
1•zhenghaoz•25m ago•0 comments

GLM-OCR: Accurate × Fast × Comprehensive

https://github.com/zai-org/GLM-OCR
1•ms7892•26m ago•0 comments

Local Agent Bench: Test 11 small LLMs on tool-calling judgment, on CPU, no GPU

https://github.com/MikeVeerman/tool-calling-benchmark
1•MikeVeerman•27m ago•0 comments

Show HN: AboutMyProject – A public log for developer proof-of-work

https://aboutmyproject.com/
1•Raiplus•27m ago•0 comments

Expertise, AI and Work of Future [video]

https://www.youtube.com/watch?v=wsxWl9iT1XU
1•indiantinker•28m ago•0 comments

So Long to Cheap Books You Could Fit in Your Pocket

https://www.nytimes.com/2026/02/06/books/mass-market-paperback-books.html
3•pseudolus•28m ago•1 comments

PID Controller

https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
1•tosh•32m ago•0 comments

SpaceX Rocket Generates 100GW of Power, or 20% of US Electricity

https://twitter.com/AlecStapp/status/2019932764515234159
2•bkls•32m ago•0 comments

Kubernetes MCP Server

https://github.com/yindia/rootcause
1•yindia•33m ago•0 comments

I Built a Movie Recommendation Agent to Solve Movie Nights with My Wife

https://rokn.io/posts/building-movie-recommendation-agent
4•roknovosel•34m ago•0 comments

What were the first animals? The fierce sponge–jelly battle that just won't end

https://www.nature.com/articles/d41586-026-00238-z
2•beardyw•42m ago•0 comments

Sidestepping Evaluation Awareness and Anticipating Misalignment

https://alignment.openai.com/prod-evals/
1•taubek•42m ago•0 comments

OldMapsOnline

https://www.oldmapsonline.org/en
1•surprisetalk•44m ago•0 comments

What It's Like to Be a Worm

https://www.asimov.press/p/sentience
2•surprisetalk•44m ago•0 comments

Don't go to physics grad school and other cautionary tales

https://scottlocklin.wordpress.com/2025/12/19/dont-go-to-physics-grad-school-and-other-cautionary...
2•surprisetalk•44m ago•0 comments

Lawyer sets new standard for abuse of AI; judge tosses case

https://arstechnica.com/tech-policy/2026/02/randomly-quoting-ray-bradbury-did-not-save-lawyer-fro...
5•pseudolus•45m ago•0 comments

AI anxiety batters software execs, costing them combined $62B: report

https://nypost.com/2026/02/04/business/ai-anxiety-batters-software-execs-costing-them-62b-report/
1•1vuio0pswjnm7•45m ago•0 comments

Bogus Pipeline

https://en.wikipedia.org/wiki/Bogus_pipeline
1•doener•46m ago•0 comments

Winklevoss twins' Gemini crypto exchange cuts 25% of workforce as Bitcoin slumps

https://nypost.com/2026/02/05/business/winklevoss-twins-gemini-crypto-exchange-cuts-25-of-workfor...
2•1vuio0pswjnm7•47m ago•0 comments

How AI Is Reshaping Human Reasoning and the Rise of Cognitive Surrender

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6097646
3•obscurette•47m ago•0 comments

Cycling in France

https://www.sheldonbrown.com/org/france-sheldon.html
2•jackhalford•49m ago•0 comments

Ask HN: What breaks in cross-border healthcare coordination?

1•abhay1633•49m ago•0 comments

Show HN: Simple – a bytecode VM and language stack I built with AI

https://github.com/JJLDonley/Simple
2•tangjiehao•52m ago•0 comments
Open in hackernews

19 Years on One Product: Things Xmind Taught Me

1•briansun•6mo ago
I typed the first line of Xmind in 2006 on an iBook G4 with Eclipse and Java. About a decade later we rebuilt the frontend with Electron + Vue (JS/SVG) to unify platforms and retire legacy Java UI. Today the product serves ~4M monthly users and thousands of paying teams. No VC, no IPO—default‑alive since day one.

Here are six things that survived contact with reality.

1) Stay privately tiny; peace of mind compounds.

We kept the team under 25 for the first decade and stayed profitable. Default‑alive in practice means: cash‑flow discipline, small hiring batches, asynchronous decision docs, release trains instead of date‑driven crunches, and no quarter‑end sales blitzes to “make the number.” The trade‑off is slower brand expansion; the return is control of the roadmap and fewer meetings about slides.

2) Pick a 20‑year problem and buy the right to obsess.

Most ideas age like milk; mind mapping ages like wine. We test “long‑lived” with simple heuristics: low teaching cost, high switching cost, and deep ties to human workflows (planning, learning, research). In a durable category you can fix paper‑cuts, sharpen defaults, and invest in docs without worrying the category evaporates next quarter.

3) If users don’t pitch you at dinner, you’re already dying.

You can rent attention; you can’t rent advocacy. Our healthiest cohorts come from direct/referral traffic; we try to keep them as the leading sign‑up source. Influencer spikes fade in a day or two; referral users retain and expand better. Optimize for the tell‑a‑friend moment: shareable templates, easy export/embedding, and obvious first wins. Track source mix, 7/30‑day retention by source, and referral rate.

4) Charge before you’re sure; the market teaches faster than models.

We charged early (then moved to subscriptions later). Pricing is a product surface: it selects customers and frames expectations. Our loop is simple: ship a defensible price → watch conversion/retention/refunds → segment plans → adjust with clear, public rules. Grandfather early buyers. Keep free‑tier boundaries crisp.

5) Design hacks the subconscious—ship it, don’t just measure it.

People adopt tools that feel usable before they are usable. Instead of tracking vague design KPIs, we ship features that directly reduce friction. One example: we built a “smart color theme” system that auto‑styles your mind map into clean contrast and hierarchy—especially useful for users who aren’t confident with visual design. It’s simple, visible on day one, and sticky over time.

6) Don’t build from competitor checklists.

Feature parity is cargo‑cult engineering. We keep a Worldview Doc (what problem we solve and how) and a Negative Roadmap (what we won’t do, even if competitors do). Saying “no” prevents the junk‑drawer effect and keeps the interface legible. Different beats bigger. If you must copy anything, copy the constraints others ignore.

None of this is universal law; it’s what kept us small, calm, and alive across cycles. If you want fewer headaches: pick a problem that still matters in 2045, earn dinner‑table advocacy, let pricing be a conversation with users, treat design as cognition, and guard coherence over feature accretion. Happy to share details in the comments—pricing, rewrite, or bootstrapping trade‑offs.

Comments

alenguo•6mo ago
xmind is nice!