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Launching Homeworkhero.io – Instant Solutions Manuals

Hacker News

Launching Homeworkhero.io – Instant Solutions Manuals

Hey HN, We're launching homeworkhero.io – yet another chatGPT wrapper - that generates solutions manuals for homework assignments, study guides, random textbook pages, etc. No step-by-step solutions. No tutorials. Just answers that are formatted neatly and returned as a PDF. Users can take a photo of their homework and upload it to our website and in < 5 minutes be done. We built this tool because we have college memories of all the poorly thought out gen-ed and core curriculum courses we were forced to waste our time on. We also have been teaching assistants and have fond memories of needing solutions manuals for homework assignments out of seemingly esoteric textbooks. "So you're promoting cheating?" - Between chegg and chatgpt, homework is already on the honor system. This is definitely taking that to its logical extreme, though. We did this as a side project and would like people’s feedback. Features: - Wide Subject Range: From math to humanities. - Quick Turnaround: Get your solutions in seconds. - Simple Interface: No frills. Just answers. - Upload the assignment in a pdf or just a picture Pricing: - $1 per fully formatted assignment Thank you, HomeworkHero Team

Visit productView on Hacker NewsAug 29, 2023
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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% 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: user, chatgpt · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: answers, users · Missing: mobile apps, ios, personal
43%43% 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
38%38% 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 · Strong signals: interface, users · Missing: plus, platform, intuitive
37%37% 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
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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