Gift Genie AI – GPT-3 powered free-text personalized gift ideas

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Hiya HN! This weekend I built a webapp tool using the latest GPT-3 model from a few weeks ago (text-davinci-003) to help me come up with personalized and hyper-specific gift ideas. I was surprised to find that the model was actually much better at coming up with gift ideas than I was, given a detailed description of the giftee. The prompt engineering and result presentation was fun to build out, and I added some additional utilities to the results — quick links to searches on Amazon and an "Open All in New Tabs" button to make it easier to browse potential gifts. I also have some additional features in the works: explanations of why each gift would be good for the giftee, and the ability for the AI to ask additional questions to refine the recommendations (making it a more iterative / chat experience). I have iOS and Android apps in progress (bless React Native) and hope to improve the make the search smarter down the road by e.g. incorporating product/review data using the new OpenAI embeddings API (maybe in combination with a search-focused database). I'm excited to see what HN gang thinks of my tool and if any last minute gifters like me find it to be a helpful resource for finding holiday gifts this year. Let me know what you think and if there are any other features you'd like to see!

Visit product View on Hacker NewsDec 19, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, apps, new · Missing: mac, agents, macos

94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, video

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · 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

12%12% 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, smart · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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