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Frockly – A visual editor for understanding complex Excel formulas

Hacker News

Frockly – A visual editor for understanding complex Excel formulas

I built a visual editor that represents Excel formulas as blocks, making it easier to inspect, refactor, and reason about complex formulas structurally. Frockly is not an Excel replacement. It focuses on understanding and refactoring formulas before bringing them back to Excel. Demo: https://ryuu12358.github.io/Frockly/ GitHub: https://github.com/ryuu12358/Frockly Write-up: https://note.com/ryuu12358/n/naa65d9d5facd (Japanese)

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56points
21comments
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Product HuntOn track for Day 1 leaderboard · Strong signals: visual · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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