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I Made a Product to Help Indiemakers Connect and Share with Each Others

Hacker News

I Made a Product to Help Indiemakers Connect and Share with Each Others

Hello everyone! Today I would like to introduce you my new service that completely meets my needs (at least, but maybe yours too ? Let me know :) My problem For the explanation, I have been running a blog about video game development for some time now. However, I'm all alone on this side project and I don't know anyone who does the same thing in my close circle. Faced with certain challenges and doubts, I sometimes feel on my own. I would like to be able to share my experiences with someone who does the same thing as me (not necessarily an entire community, just a person because to my opinion it makes exchanges and discussions more easy). My solution That's why I decided to create an MVP of the service with a friend. After some work on it, it is ready ! It is called startner.me Its use is very simple: you enter your first name and email address, your area of interest (for the moment it is possible to select "SaaS Development", "Infopreneurship" and "Entrepreneurship in general"). Then all you have to do is describe the project you are working on or planning to launch. Once registered, we "match" people's profiles according to their interests and assign them a "Startner" with whom they can talk about their project. Why startner? Because it is the combination of "start" from "startup", and "partner" :) Feel free to check it out at https://startner.me and tell me what you think :) Thank you for your try and feedbacks !

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% 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 · Strong signals: new, email · Missing: mac, agents, macos
73%73% 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, 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: entrepreneurs, video · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · 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 · Strong signals: introduce · 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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