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CheckoutLink – Turn your Instagram posts into a Storefront

Hacker News

CheckoutLink – Turn your Instagram posts into a Storefront

Why I built CheckoutLink: As a small business owner and creator, I noticed how challenging it can be to sell directly on Instagram without a website. Many sellers like me rely on DMs or clunky solutions, which can make managing sales and payments a headache. I wanted to simplify the process by turning my Instagram into a fully functioning storefront, quickly and effortlessly. What CheckoutLink does: Turn Instagram posts into shoppable links—sell directly through DMs or bio links. Manage products, buyers, sales and payments from one simple dashboard. Sync your PayPal or Stripe account to get paid instantly. Quick setup with no coding or website required. I'd love to hear your thoughts, feedback or any suggestions you have to make CheckoutLink even better. Feel free to ask me anything! Thank you so much for your support and I hope CheckoutLink can help you grow your business as well!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: stripe, coding · Missing: mac, agents, macos
82%82% 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
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
60%60% 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
36%36% predicted probability of success on AppSumo, 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
33%33% 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
19%19% 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.

Correct prediction on native model

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