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Indiebackers – Back indie projects and earn rewards

Hacker News

Indiebackers – Back indie projects and earn rewards

Hi Hackernews! My name is Sokrates and today I am launching indiebackers.dev I started working on Indiebackers once I realized that a lot of people (including myself) do all the heavy lifting, such as - A brand and logotype - Buy a domain - Make a landing page - Deploy a website - Coding if necessary All that jazz all to validate an idea? Existing platforms today focus primarily on launching. Indiebackers focus on the shaping of the idea until it's a MVP and ready to launch. Why would anyone want to become a early bird or adopter? What do indiehackers get from early birds and what do they get in return? By incentivize, by rewarding early adopters with benefits and perks for their help, both parties gain in their partnership. The process is easy: Submit your ideas to the community See what sticks - Get upvoted, or maybe it just was a silly idea? If you're lucky you might just get people signing up for your idea! If you're lucky, people sign up, then it's time to start working towards an MVP. Launch and reward your early adopters for their input during the development phase! Things to know! What is Indiebackers not? Crowdsourcing platform. Crowdsourcing are for projects that are dependent on monetary forms. The idea behind Indiebackers is that monetary forms are great but not the essential part for in the beginning of a indie products journey. Find out more! https://indiebackers.dev/faqs ProductHunt Launch! https://www.producthunt.com/posts/indiebackers

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Actual performance

70points
46comments
Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, including · Missing: supports, reddit linkedin, podcasting
73%73% 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 HuntUnlikely to reach the leaderboard · Strong signals: new, coding · Missing: mac, agents, macos
46%46% 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: exist, existing, ide · 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
22%22% 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
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: reward · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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