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Read-Only PasteBin

Hacker News

Read-Only PasteBin

Link: http://www.copyprotecttext.com/ It converts text to an image and then jumbles it. The jumbled image is sent to the client. The client has to hover over the text to read it. This is to prevent someone from copy pasting the text. They can still read it though. Potential audience: Freelance writers who want to give the clients their work but are afraid it will just get copy pasted (This is why I created it, because I was a freelance writer) College Professors who want to share code but want the students to write it again themselves. Comic and Image distributors who want to let others view an image without letting them save it. Pitfall: The image can be reassembled with some coding but it shouldn't be trivial Solution: Turn the image to a video stream and jumble it every second so that it is more secure

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
62%62% 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: coding, code · Missing: mac, agents, macos
41%41% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal
39%39% 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
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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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