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Build your next product in public

Hacker News

Build your next product in public

Hi HN! I've been wanting to build products in public for a long time now but I found it hard and time consuming to do so with posting on Twitter and I'm not at all comfortable with appearing on Youtube or Twitch. Also the thing that I actually love doing is building things rather than talking about them. That's how I came up with the idea for Floumy. I was thinking that it could be really cool if there was a product management software that you could use on a daily basis as you do with Jira, Trello and so on but would also allow you to share with the world what you are working on. Currently, Floumy has the basic feature set to manage your product in public. During the next quarter I would like to add features like public comments, feature requests, changelogs and bug tracking ... maybe even managing multiple products? I haven't finished the planning for next quarter yet, so this would be a great time to hear what you folks think I should tackle next. I would love to get some feedback on what I built until now and what you would like to see in the future. By the way, you can see my journey of building Floumy here https://app.floumy.com/public/org/bcb58baf-dd09-4bac-9b6b-b7... and you can sign up for a 7 days trial if you wish to give it a go yourself. Thank you!

Visit product View on Hacker NewsJun 25, 2024

Actual performance

1points

Did not reach leaderboard

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

84%84% 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

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

38%38% 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

21%21% 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

14%14% 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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