I
I made Daspoll – Survey and Form Builder
Hacker NewsI made Daspoll – Survey and Form Builder
Hi HN, I started building this around 6 months back. Having a full-time job makes it difficult to work on a side project. People say the hardest part is marketing but repetitive development is very boring. I will definitely choose a fun-ner side project than this if this fails. It's such a tiring journey as a solo developer/founder/marketer. The tech stack is Node.js and Angular. Daspoll is a survey builder for everyone.
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13points
8comments
Made the leaderboard
Launch Intel predictions
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Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%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, crypto1%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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