A personalised word search puzzle for your special someone

Hacker News

Hello HN! I was thinking of gift ideas for my special someone. I wanted to create a personal gift that could be both experienced in the moment and treasured forever. A custom word search puzzle, filled with our special memories, inside jokes, and shared moments — seemed like a great idea. I thought hard to come up with the words, used an online tool to generate the puzzle, and put it on a page I designed on Photoshop. After seeing my partner's face light up as she discovered each word in that puzzle, I decided to create a delightful app to help others surprise their partners! Wordamour's features: (1) Easy-to-use word search puzzle maker (2) 25+ questions to help you come up with words (3) Beautiful, high-quality PDF (A4/A5/Letter) download (4) 100% secure (your data is never stored) (5) 100% free (you can buy me a coffee if you like!) Try out Wordamour and let me know if it brought a smile to your special someone's face! :D

Visit product View on Hacker NewsNov 25, 2024

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Actual performance

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

80%80% 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.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

49%49% 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 · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

25%25% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

10%10% 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.

Incorrect prediction on native model

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