AeroSheet – 3D wings and airfoils go weee (in a spreadsheet)

Hacker News

There are 300px of pure joy in a Google Sheets sidebar. Enough to fit: - a Threejs interactive wing designer - 1600 UIUC airfoils - Prandtl Lifting Line Theory solver ported from dusty Fortran scripts AeroSheet is an experiment in aerospace tooling inside spreadsheets (where non-software engineers live & die). And one of two apps built with my experimental Svelte-to-GAS bundler. The other one is https://montesheet.com if anyone's curious. For a no-install demo, click around https://veenie.space/tools/airfoils

Visit product View on Hacker NewsJul 28, 2026

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, google · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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