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GramSite – Instantly create beautiful landing pages from your Instagram

Hacker News

GramSite – Instantly create beautiful landing pages from your Instagram

Hi HN! I built GramSite during a hackathon to help small businesses and influencers who don’t have the resources or technical skills to create a website. With GramSite, you can turn your Instagram feed into a sleek, professional landing page in seconds—completely free! To keep it sustainable, I’ve added a “Pro” plan that offers additional features like: - Content editing to customize your landing page. - Multiple websites for those with several profiles. - Custom subdomains for a more branded look. Would love to hear your feedback, suggestions, or ideas for improvement. Thanks!

Visit product View on Hacker NewsNov 19, 2024

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

78%78% 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

78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, 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

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% 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

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

Correct prediction on native model

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