I Built a Buffer/Hootsuite Alternative for Just $10

Hacker News

Hi HN! I'm an indie hacker, and over the past 3 months, I’ve been building Posthyve, an affordable alternative to Buffer and Hootsuite for social media management. My goal was to create a tool that’s simple, effective, and way more cost-efficient. Here’s what Posthyve offers: Support for all major social media platforms An intuitive interface for scheduling and managing posts AI- Powered tools Analytics Currently in beta—so your feedback is super important! It’s live now, and I’d love for you to check it out and let me know what you think. Any feedback, suggestions, or constructive criticism would mean the world to me.

Visit product View on Hacker NewsJan 27, 2025

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Actual performance

2points

2comments

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform, intuitive, interface · Missing: plus, reviews, host

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, 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

45%45% 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, revenue

18%18% 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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