Listpro – Turn product screenshots into launch assets

Hacker News

I am a true believer in "throwing things at the wall and seeing what sticks" ideology so I've built products for multiple marketplaces- Shopify, Notion, mondaydotcom & also SaaS. While AI coding made building faster, launching was my big problem. Marketplaces and launch platforms (Product hunt, appsumo etc) are a sea of products and it's really tough to pass them with average looking launch assets. I'm not a designer, nor do I find it sensible to pay for a monthly subscription when the launch is not a weekly thing (not yet atleast). So I kept facing this issue again and again when I'd spend hours and hours just researching good visual trends, references, then struggling to get a decent looking outcome right on canva. My goal was not to make my product look like a shiny bright thing - but to make sure people understand what it's meant to do in one glance, rather than scrolling through busy screenshots. By my 10th product, I'd landed on a system that produced high quality gallery assets that I was confident to use - designed specific to the product I’d launch. So I shared the workflow with a few friends and they found it quite nice. It helped their products gain more visibility - visitors could actually understand what your product does without the mental load of looking at a screenshot. So I made this into product and made it available to everyone. Upload the most basic resources : product URL and raw screenshots to generate the whole kit - cover images, launch video, feature cards to explain each functionality. Still in beta. Curious how people use it and what results it brings for them.

Visit product View on Hacker NewsSep 10, 2026

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

94%94% 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: apps, visual, coding · Missing: mac, agents, macos

93%93% predicted probability of success on Product Hunt, 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

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.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas, subscription, shopify · 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 · Missing: web3, chat, crypto

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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