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I built a tool that helps founders grow on Reddit, X, and LinkedIn

Hacker News

I built a tool that helps founders grow on Reddit, X, and LinkedIn

Hey HN,I'm Arthur, solo founder here. After struggling to get consistent traffic for my own startup, I realized I was spending more time guessing how to market than actually building. So I made something small but useful. MediaFast is a simple tool that gives you daily marketing roadmaps for Reddit, X, and LinkedIn. No fluff, just concrete tasks that help you get seen. It covers: – Where and how to post on Reddit without getting banned – What to tweet to get engagement as a SaaS founder – How to grow LinkedIn with cold DMs and soft content Since launching, I’ve gotten 15k+ visitors and $5.7k in revenue, just from using my own tool and posting on socials. Now I’m trying to help others do the same. Would love feedback, especially on how to make the product more useful for solo devs and indie hackers. Thanks for reading!

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Actual performance

5points
4comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: tasks, using · Missing: mac, agents, macos
87%87% 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
86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, saas · Missing: arr, mrr, profit
31%31% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
16%16% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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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