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Sharebuttons.ai – generate AI share buttons for ChatGPT, Claude etc.

Hacker News

Sharebuttons.ai – generate AI share buttons for ChatGPT, Claude etc.

Hi HN, I built https://sharebuttons.ai , a free tool that generates sharable links and embeddable buttons to help your content get cited in AI platforms like ChatGPT, Claude, Perplexity, and Grok. The idea is simple: Instead of traditional social media buttons, these buttons generate AI-optimized prompts that include your content. When clicked, they open the selected AI tool (e.g. ChatGPT or Claude) with a pre-filled query referencing your material. This makes it easier for visitors to bring your content into AI conversations - and more likely to get it cited in AI-generated answers. You can choose which platforms to support, and the tool gives you clean, ready-to-use HTML for your site. No signup, no scripts, just links, buttons and markup you can embed. It works with any type of site — blogs, documentation pages, landing pages, etc. Benefits: - Increases the chance your content gets cited in AI responses - Helps build your brand’s presence in AI-generated output - Makes it easier for users to reference your content directly in tools like ChatGPT Examples of links: ChatGPT (Summarize): https://ivbnssfgtjtfuskcqkfh.supabase.co/functions/v1/track-... Grok (Summarize): https://ivbnssfgtjtfuskcqkfh.supabase.co/functions/v1/track-... Some websites are already experimenting with this approach. Designmodo's blog https://designmodo.com/email-design/ now uses similar AI-friendly share buttons to improve visibility in AI-generated content. I'm looking for feedback: - Is this useful to you? - Would you add something like this to your site? - Any improvements or additional AI platforms you'd want supported? Feedback and critique welcome. Thanks!

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, user, email · Missing: mac, agents, macos
88%88% 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 · Missing: supports, reddit linkedin, podcasting
77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, friendly, users · Missing: plus, intuitive, reviews
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: answers, users · Missing: mobile apps, ios, personal
38%38% 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
32%32% 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
16%16% 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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