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Show HN: Term-CLI – interactive terminals for AI agents (for SSH/TUI/REPL flows)

https://github.com/EliasOenal/term-cli
1•eliasoe•42s ago•0 comments

The secret green shelters that feed London's cabbies (2018)

https://www.bbc.com/travel/article/20180430-the-secret-green-shelters-that-feed-londons-cabbies
1•1659447091•1m ago•0 comments

Show HN: Hanaco Garden – A Calm iOS Garden

https://apps.apple.com/us/app/hanaco-garden/id6759095190
1•tsuyoshi_k•3m ago•1 comments

Number Research Inc

https://numberresearch.xyz/
1•eieio•4m ago•0 comments

OpenClaw Partners with VirusTotal for Skill Security

https://openclaw.ai/blog/virustotal-partnership
1•wangchunchao•5m ago•0 comments

Docker pulls more than it needs to

https://dockerpull.com
1•a_t48•6m ago•1 comments

Show HN: Schelling Protocol – Where AI agents coordinate on behalf of humans

https://github.com/codyz123/schelling-protocol
1•codyz123•7m ago•1 comments

We built high speed threat hunting for email security

https://sublime.security/blog/how-we-built-high-speed-threat-hunting-for-email-security/
1•jkamdjou•10m ago•0 comments

MrBeast Is Getting into Financial Services. Parents Should Pay Attention

https://www.nytimes.com/2026/03/03/business/mrbeast-step-banking-crypto.html
5•sigwinch•13m ago•1 comments

Graphics Programming Resources

https://develop--gpvm-website.netlify.app/resources/
2•abetusk•15m ago•0 comments

Show HN: Upload test cases and get automated Playwright tests back

https://instantqa.ai/
1•ksurace•15m ago•0 comments

Testbed for the Development and Validation of Contactless Vital Signs Monitoring

https://www.mdpi.com/1424-8220/26/4/1092
1•PaulHoule•15m ago•0 comments

Claude Code rolls out a voice mode capability

https://techcrunch.com/2026/03/03/claude-code-rolls-out-a-voice-mode-capability/
2•zX41ZdbW•15m ago•0 comments

Paralympian Brenna Huckaby Uses Oura

https://ouraring.com/blog/us-paralympian-brenna-huckaby/
1•wslh•16m ago•0 comments

Show HN: Local, privacy-first MCP code intelligence in Rust

https://github.com/avirajkhare00/yoyo
1•avirajkhare•16m ago•0 comments

YC Controls the Frame: Sam Altman's VC Advisors' Protocol Leaked [video]

https://www.youtube.com/watch?v=pjO2_UWhlKA
3•ncouture•20m ago•2 comments

Show HN: OpenCovibe – a local-first desktop UI for Claude Code

https://github.com/AnyiWang/OpenCovibe
1•way007•24m ago•0 comments

The Power of Messy Teams

https://sloanreview.mit.edu/article/the-hidden-power-of-messy-teams/
3•gnabgib•24m ago•0 comments

Polishing Cloth Is Compatible with the New MacBook Air and Pro, Studio Displays

https://old.reddit.com/r/mac/comments/1rjtmge/breaking_apple_announces_that_the_polishing_cloth/
1•virgildotcodes•25m ago•0 comments

Training neural networks on Apple Neural Engine via reverse'd private APIs

https://github.com/maderix/ANE
1•zX41ZdbW•25m ago•0 comments

Infected by GTA 5 Cheats: An Infostealer Infection Unmasked a North Korean Agent

1•f0000x•25m ago•0 comments

Show HN: Mouse Polling Rate Test – A Chrome extension that measures your mouse

1•zylics•28m ago•0 comments

Anthropic Nears $20B Revenue Run Rate Amid Pentagon Feud

https://www.bloomberg.com/news/articles/2026-03-03/anthropic-nears-20-billion-revenue-run-rate-am...
2•Analemma_•30m ago•1 comments

The Orchestrator's Garden: Leading Human-Machine Teams in the Agentic Age

https://architectureintel.com/the-orchestrators-garden-leading-human-machine-teams-in-the-agentic...
1•younss•30m ago•1 comments

Show HN: 3D scenes stored in shareable URLs

https://app.topomaker.com/demo
1•whothatcodeguy•31m ago•0 comments

Show HN: I turned my AI chat history into a portable cognitive fingerprint

https://trypaolo.com
1•waterwitch•34m ago•0 comments

Show HN: A marketplace where AI agents buy from other AI agents in USDC

https://agoragentic.com
1•bourbeau•36m ago•1 comments

Coding Is Not Dead: 5 Benefits of Learning to Code [video]

https://www.youtube.com/watch?v=1BGKVBdtCi0
1•saadn92•36m ago•1 comments

Weave – A language aware merge algorithm based on entities

https://github.com/Ataraxy-Labs/weave
4•rs545837•45m ago•1 comments

Defense contractors removing Anthropic's AI after Trump ban

https://www.reuters.com/sustainability/society-equity/defense-contractors-like-lockheed-seen-remo...
3•alephnerd•50m ago•0 comments
Open in hackernews

Show HN: Formualizer – Arrow-backed spreadsheet engine, 320 functions,PyO3+WASM

https://github.com/psu3d0/formualizer
2•ManfredMacx•1h ago
Formualizer is a spreadsheet engine written in Rust: parse Excel formulas, track dependencies, evaluate with 320+ functions, mutate workbooks, undo/redo. Python bindings via PyO3, WASM for the browser. MIT/Apache-2.0.

The original motivation was server-side formula evaluation in Python. openpyxl reads and writes xlsx well but evaluates nothing - formula cells return None unless Excel cached values on last save. xlcalc actually evaluates but covers around 50 functions. If you needed XLOOKUP, SUMIFS with multiple criteria, IRR, XIRR, or dynamic arrays like FILTER and UNIQUE, you were either installing Excel on a Linux box or accepting the gaps.

There's a one-liner for the common case:

    import formualizer as fz
    fz.recalculate_file("model.xlsx", output="recalculated.xlsx")
Or drive it programmatically — load a workbook, change inputs, evaluate:

    wb = fz.load_workbook("model.xlsx")
    wb.set_value("Assumptions", 3, 2, 0.08)
    wb.evaluate_all()
    print(wb.evaluate_cell("Summary", 5, 3))  # =IRR(...)
You can also register Python callbacks as first-class formula functions that participate in the dependency graph.

The Rust and WASM targets are also fully supported - the engine is the core with Python, WASM, and a stable CFFI as targets.

Formal benchmarks are in progress!

Docs: https://www.formualizer.dev/docs

Comments

ManfredMacx•1h ago
Two architectural decisions worth explaining for anyone curious about the internals:

Arrow-backed storage: cell data lives in Apache Arrow arrays, organized as stripes (blocks of rows x columns). Range operations like SUMIFS, VLOOKUP, and XLOOKUP receive typed numeric slices (&[f64]) directly rather than iterating cell-by-cell. This is what makes criteria aggregates over large ranges fast rather than a loop over boxed values.

Incremental dependency graph: every formula registers its precedents at parse time. On edit, we propagate a dirty set via reverse edges and only re-evaluate the affected subgraph. For a model with many formulas, a single-cell edit typically touches a small fraction of them. Formal benchmarks are in progress across linear chains, fan-out/fan-in, SUMIFS-heavy, and spill-heavy workload shapes.