Klipy – Generate Memes via AI (Meme, Sticker, and GIF API)

Hacker News

Hi everyone, I'm the co-founder of https://KLIPY.com - an API first platform for GIFs, Stickers, Memes, Emojis, Clips, and now AI-generated content. With GIPHY moving to a paid model and Tenor shutting down third-party integrations in 2026, we’re building KLIPY as a modern, fast, and monetization-ready alternative for developers, platforms, and apps. One of our newest features: AI Meme Generator – creates a unique meme in under 5–7 seconds via API. We’re also working on more tools to make short-form and viral content generation fast and accessible through simple APIs. You can generate a free API key at partner.klipy.com If you’re building an app or platform and want to integrate KLIPY (GIF API, Sticker API, etc.), I’d love to help and hear your thoughts. Thanks!

Visit product View on Hacker NewsMay 26, 2025

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

84%84% 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 HuntOn track for Day 1 leaderboard · Strong signals: model, apps, new · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% 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: platform · Missing: plus, intuitive, reviews

39%39% 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

23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

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

Incorrect prediction on native model

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