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Formie – an open source (WIP) form website made with pure HTML/JS/CSS

Hacker News

Formie – an open source (WIP) form website made with pure HTML/JS/CSS

Hey HN, First time submitter here. After a FOSS related interaction required me to use Google Forms 9 months, I wondered on why no such FOSS tool existed and decided to build it myself. I aimed the site to be for people like me, so no telemetry and minimal JS was the goal. I know this is rather small and incomplete compared to other projects but I've thought you folk might be interested. Not sure if it breaks the pure part, but the site also uses Flask. If you're lucky, you might find the app alive at: https://formie.div72.xyz .

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Actual performance

17points
14comments
Made the leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, open · Missing: mac, agents, macos
79%79% 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.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, ide · Missing: https docs, excited, just released
54%54% 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 · Strong signals: month, google · 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
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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