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Speedy – Revolutionizing API Development

Hacker News

Speedy – Revolutionizing API Development

Hello Everyone, Discover how Speedy can transform the tough job of back-end API development into fun and blazing fast. In other words, Speedy is 'Productivity on Steroids' for API/back-end development. Speedy enables you to Author RESTful Endpoints, Key-Value storage, and JS-based Functions in minutes, confidently. Save BIG on development time, hosting expenses, service scale-out, service downtime, and maintenance. We would be happy to receive your feedback, comments and feature requests. Please do not hesitate to reach us at support@getspeedy.app for anything. To know more please do visit http://www.getspeedy.app. Regards, Team Speedy

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Actual performance

4points
1comments
Did not reach leaderboard

Launch Intel predictions

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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.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · 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 · Strong signals: host · Missing: plus, platform, intuitive
26%26% 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
20%20% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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