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A good excuse to explore that side project idea

Hacker News

A good excuse to explore that side project idea

If you're like me, you have at least a half-dozen (half-baked) ideas for side projects sitting on your "idea shelf" waiting for the right opportunity to come along and give you that spark to get started. At my day job (Bridge.Academy), we found that many of the incoming developers entering our program shared the same experience so we decided to do something about it and formalize the process of picking up a new technology you are trying to learn and applying it through a side-project with a program we're calling "The Bridge Tournament". It's designed to give you that extra bit of motivation to take your side project idea off the shelf, pick up a brand new technology and start building the damn thing. Here’s how it works Each month new applicants to join Bridge.Academy participate in a tournament in order to demonstrate their ability to quickly pick up new skills through working on a project of their choosing. Applicants receive points based on their progress. The more impressive your pace of improvement, the higher your score will be and better your chances of winning. The Process Submit your application · Due this Sunday. You’ll describe yourself and your project. Vote on projects · Monday. Other applicants & Bridge Mentors will also vote on your application. Applicants will only see some of your responses. Submit weekly updates · Due every Sunday. You’ll submit a progress update once a week. Vote on updates · Every Monday. Get points from other applicants based on your progress. The more impressive your work, the higher your score will be. More on the process here: https://medium.com/the-spectrum/bridge-academy-alpha-cohort-... You can read more about how the tournament works and find links to apply here: https://medium.com/the-spectrum/announcing-the-bridge-academ...

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, 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
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.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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.

Incorrect prediction on native model

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