Colapixel – A video/photo gallery with annotations

Hacker News

My sister asked me if I can set up a site similar to jack.ventures for her a month ago. She said it was open source ( https://github.com/Jack000/Expose ) and should be easy and I just need to run a script (rolls eyes). I did that and two weeks later her friends saw it and want me to run the same script for them. So I decided to take some weekends to build something similar using nodejs/redis/mysql, put up a user registration page, user profile page and add some editing features. So now everyone can sign up without me having to run any 'script'. Just push the first draft live. Things might be buggy but the website is functional. https://colapixel.com Here's a demo story that explain some of the features. https://colapixel.com/story/Eo466y Here are some stories on my trip to Taiwan. https://colapixel.com/story/5WNAdPr https://colapixel.com/story/dXvN29n So sign up if you are interested and report back any bugs. Thanks HN folks!

Visit product View on Hacker NewsMay 4, 2017

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Actual performance

5points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · 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.

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

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, 000 · Missing: https docs, excited, just released

49%49% 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

40%40% 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

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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