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FederAI – Twitter growth and engagement tool for small accounts

Hacker News

FederAI – Twitter growth and engagement tool for small accounts

Hey all! I built an AI-assist Twitter growth and engagement tool for small accounts as most other tools focus on growing medium to large account My goal is to make it easy to come up with quality content daily and make connections with other accounts in less time. On a daily basis, you will receive 8 Ready-to-use personalized tweets, prompts, and related viral tweets in your inbox. You will be able to search through to 2M+ viral tweets library or let the AI do it thing. Analytics, thread scheduling, and multi-account are supported out of the box so you don't have to install multiple apps. I would love any feedback from you all. Hope you all enjoy :) Check it out here: https://federai.co Twitter: https://twitter.com/domng_me

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
80%80% 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.
TrustMRRLess likely to generate early MRR · Strong signals: personal, apps · Missing: mobile apps, ios, entrepreneurs
47%47% 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
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% 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 · Strong signals: apps, inbox · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue
29%29% 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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