AISlide: AI Presentation Maker

TrustMRR

A mobile app that turns a text prompt into a full presentation. Users type a topic, the app generates slides, and they can export as PDF or PPTX. Works on iOS and Android from a single codebase. ## Numbers - Launched November 2025 - Zero ad spend. All traffic is organic through ASO - iOS drives 90%+ of revenue - Android growing slowly but steadily - Operating costs: ~$35/month total (server + AI costs)

Visit product View on TrustMRRNov 12, 2025Mobile Apps Other B2C

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Actual performance

7customers

$154MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating3

MRR growth 30d-44.8%

Launch Intel predictions

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

91%91% 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: user, single, code · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, month, users · Missing: mobile apps, personal, entrepreneurs

72%72% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

37%37% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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