Sl

Sleek - AI mobile app mockup generator (our 3rd pivot, last shot)

Hacker News

Sleek - AI mobile app mockup generator (our 3rd pivot, last shot)

we built sleek.design: you describe your app idea and it generates mobile mockups designs. it is possible to export them into html, react or figma. it is also possible to get a prompt that can be pasted into bolt and will generate the actual app starting from the design created. this is our third huge pivot and honestly the last shot we're giving ourselves. quick backstory: we're 3 bootstrapped builders. launched about a year ago with what's now on v1.reweb.so, basically a visual builder for nextjs/tailwind/shadcn. it went pretty viral and started growing, but we couldn't get past $2k MRR. everyone kept asking for "sync with codebase" but we'd built it json-first instead of code-first, so the source of truth wasn't the code itself but an internal json representation. this made sync basically impossible to build. everyone kept churning and we concluded it was probably better to move on. next was landing.new: AI-generated landing pages from a description. we made a templating engine where AI would pick and mix premade blocks. launched it, got maybe 5 sales for less than $400. then sonnet 3.7 came out and could just build entire landing pages from a prompt, which made our whole templating engine feel worthless. we basically got demotivated and did no marketing at all. then we went back to reweb (reweb.so), creating an infinite canvas to design components and pages, and iterate quick. got some customers but AI costs spiked hard and with free trials we earned almost nothing. we now understood that we kept building top-down instead of understanding real user pain first. we were solving problems we thought existed, and couldn't define an ICP even after tons of user interviews. we are now aware that we kept going mainly because of sunk cost fallacy. reaching PMF seems increasingly like a mirage, even though we have done everything possible to build the best products we can and maintain consistently high quality. we are running out of savings and, having had virtually no personal income due to low MRR, we have decided to give us two months, if we don't start seeing good numbers by the end of the year, we'll have to quit this. so now we're niching down as much as possible: just mobile app mockups. got some weak signals in interviews and that's it. we have reduced the free trial to the bare minimum because otherwise the costs of AI would kill us immediately. we have less than $5k left and we're going all in on marketing and paying for sponsored content on youtube/instagram/tiktok. we are also going to try some SEO, organic content, and so on. i really hope this is the right time.

Share card

Actual performance

5points
3comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting
96%96% 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, new, visual · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, ide, io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: mrr, bootstrapped · Missing: arr, revenue, profit
37%37% 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.

Incorrect prediction on native model

Similar products

Fr
Free AI Mobile App Generator39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free AI Mobile App Generator

Hacker News1
Fastshot
Fastshot71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Mobile App Builder

Indie Hackerscommitment-full-time
Pink-Tech AI
Pink-Tech AI44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Consumer AI Mobile APP

Indie Hackers1ai
QualGent
QualGent66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Mobile App QA Tester

Product Hunt+198Android
Dreamflow
Dreamflow46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Mobile App Builder And IDE

Indie Hackerscommitment-full-time
Mo
Mobile App Grader42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mobile App Grader

Hacker News6
Mo
Mobile App Automizer42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mobile App Automizer

Hacker News22
Th
The Crowdtilt Mobile App42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Crowdtilt Mobile App

Hacker News35
Satsport
Satsport34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

satsport mobile app

Indie Hackers
da
dal-app-148%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

a mobile app

TrustMRR267$3,759/moMobile Apps