Easy access to files on the bsv blockchain

Hacker News

Lots of data is being uploaded to the bsv blockchain. Different standards and different formats can make it hard to make sure all files are accessible if you want to reuse files uploaded by others. I made a friendly gateway to files stored as OP_RETURN data. I consider it a friendly gateway because of the way it handles many different ways of storing data and gives you the options to set the file type dynamically. Example: a website and resource files stored 100% on the bsv blockchain: http://bico.media/44c1b1f97edea84b9d41a989759d90a9fc348ed97d... A bit more info here: http://bico.media If you have a wallet on moneybutton.com you can "upload" files via https://b.bitdb.network Please share thoughts and inputs to improvements.

Visit product View on Hacker NewsJan 29, 2019

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AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, 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 · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% 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

30%30% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

28%28% predicted probability of success on Indie Hackers, 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 · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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