My brother wrote this program from jail

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Hi HN!, My brother got a 5 years jail sentence but is coming out soon, a few months ago he decided to learn to code with no prior experience. I find the way he is studying very inspirational so decided to post his (simple) program. But first, here is what he needs to go through to learn: - We the family send him javascript and html books - He studies them and writes programs in pen and paper - He calls me so I input what he wrote on my computer and we debug it live via a phone call, he has to imagine the program in his head. The crazy part is up until a few days ago he didn't have access to a computer. However! another inmate has an upcoming trial and because the contents of his trial contain to many papers, they provided this inmate with a simple laptop (no internet). My brother is not allowed to touch this laptop and he can only see this inmate 1 hour a day, so he convinced the inmate to sit next to him for my brother to tell him what to type, the other inmate types in the html+js on a notepad file and this way my brother can finally see his programs on a screen after months of only imagining how to program. Here is the program we wrote today: https://codepen.io/throwaway0944/pen/dyMpqJq My dream is for this to get some traction so when he calls I can tell him his program has users :)

Visit product View on Hacker NewsAug 20, 2020

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

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

75%75% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

AppSumoMay struggle as an AppSumo deal · Strong signals: soon, users, calls · Missing: plus, platform, intuitive

46%46% 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

25%25% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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