Suggest.gg – A free product roadmap tool aimed toward content creators

Hacker News

As a content creator who makes programming tutorials and courses, I get a ton of ideas and suggestions on a regular basis. For a while I just chucked them into a Notion board to keep track of them, and it worked decently but lacked something I really wanted: community feedback. So, I took inspiration from product roadmap apps and built this! Suggest.gg is a tool to help content creators like myself organize their ideas and suggestions, and get feedback in the form of votes and comments. This way, I can tell what my audience is most hungry for and what they'd want to see from me next. It comes with a dashboard and public profile, and has a 100% free tier that includes unlimited ideas, submissions, and votes. Would love to hear your thoughts!

Visit product View on Hacker NewsNov 9, 2023

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

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos

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

40%40% 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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% 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

17%17% 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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