Lapis

AppSumo

Lapis has been praised for its seamless creation of on-brand ads, user-friendly workflow, and top-notch results. Some users have raised issues regarding the restricted credits and the inability to modify specific brand elements. Nevertheless, Lapis remains a strong choice for individuals seeking to produce on-brand ads. With an overall rating of 4.1 and a 60-day money-back guarantee, it's definitely worth exploring Lapis.

Visit product View on AppSumoMar 16, 2026

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Actual performance

8reviews

Did not reach leaderboard

Traction signals

Rating4.0 / 5

Purchases134

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, apis · Missing: mac, agents, macos

69%69% 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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: friendly, overall rating, users · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, 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: 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: io · Missing: https docs, excited, just released

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

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

13%13% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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