Apps Built With Supabase That Have Revenue Evidence
ProvenStartups tracks 23 apps built on Supabase that carry some form of revenue evidence. Nine publish a clean current monthly figure; the median of those…
ProvenStartups tracks 23 apps built on Supabase that carry some form of revenue evidence. Nine publish a clean current monthly figure; the median of those nine is $10K/mo and the range runs from $100/mo to $56K/mo. Only three are third-party verified, so read this as a map of what people ship on a Postgres backend, not a leaderboard.
Contents

How many apps built with Supabase have revenue evidence?
Twenty-three, and the evidence under them is uneven. Three are ✅ third-party verified, ten are 🗣 founder-reported, seven are 📎 creator-relayed, and three are 🔮 unproven — priced, but with no customer yet. Fewer than one in seven carries hard evidence, so read every figure below with its grade attached.
The grades: ✅ an outside source confirmed the number, 🗣 the founder said it on the record, 📎 a creator relayed it in a breakdown, 🔮 the price tag exists and nothing else. A relayed estimate and a verified figure are not the same input.
The category split is the tell. Ten of the 23 are SaaS, four are directory sites, four are consumer apps, three are AI websites, one is a browser plugin, and one is a cautionary tale. Supabase is a backend — Postgres, auth, storage — so it attracts products that need accounts and recurring billing. Sixteen of the 23 are run by one person.
Our position, plainly: the backend is the least interesting thing these businesses share. Nobody won because of a database. They won because they found a buyer first, and Supabase is what a solo founder reaches for once that buyer needs a login. For the tool primer, read what Supabase is or the official docs; the rest of the cohort sits in the built-with-AI hub.
Which Supabase apps make the most money?
Chart Detector AI reports the largest operating number at $56K/mo 🗣. Launch Fast is the strongest verified one, at roughly $21.8K/mo ✅ ninety days in. Above both sits a peak rather than a run rate: Minea once hit $750K MRR 🗣.
| Project | Reported result | Evidence | Tier |
|---|---|---|---|
| Chart Detector AI | $56K/mo · $260K total in 13 months | 🗣 Founder | Tier 1 |
| Launch Fast (Amazon research) | ~$21.8K/mo at 90 days | ✅ Verified | Tier 2 |
| Setter AI | $120K ARR (≈$10K MRR) · 40 customers | 🗣 Founder | Tier 2 |
| Uneed | ~$8K–10K/mo | ✅ Verified | Tier 2 |
| Receipt scanners (SimplyWise + two) | $60K, $60K and $80K per month, estimated | 📎 Creator | Tier 2 |
| Frey's restroom-trailer directory | $273/day · one $20K+ lead | 🗣 Founder | Tier 1 |
| Guilty Chef | ~$700–800/mo · ~11,000 visits/mo | 🗣 Founder | Tier 1 |
| Fluently | ~$100 MRR, barely covering ad spend | ✅ Verified | Tier 2 |
| SpecSheet | Priced at $49/mo · no customer yet | 🔮 Unproven | Tier 2 |
Do not average this table. The receipt-scanner figures are App Store estimates from an unnamed tool, and Minea and DropMagic report a peak plus a four-month climb to $45K MRR, not current revenue. Fluently is ✅ verified at ~$100 MRR — verification describes a number's provenance, never its size.

How did they get their first paying customer?
None of them started with a schema. The three clearest stories begin with a conversation that ended in money, and the build came afterward. That order is the most transferable thing in this dataset — and the opposite of how most Supabase side projects start.
Setter AI: why collect the payment before writing code?
Because a $500 invoice is the only market research that clears. The founders wrapped a YC company's voice-AI API and sold the first deal for $500 with no dashboard in existence. Their line — "before you build any product, collect the first payment" — now sits behind $120K ARR, 40 paying customers, and costs under 10% of revenue 🗣.
Nothing technical was proven when the money arrived: the buyer paid for booked appointments, not software. If you cannot sell that outcome by hand once, no backend rescues it.
Launch Fast: how do you sell with no audience at all?
You rent somebody else's. Hassam had no list and no channel, so he pitched an Amazon coaching company: give him 48 hours to build something better than what was out there, and if they disliked it they had lost nothing. That pitch bought an entire company's distribution, and the tool reports ~$21.8K/mo at 90 days ✅.
Borrowed distribution on revenue share is badly underused. It turns your weakest asset into someone else's problem and puts real users in front of the product immediately.
Guilty Chef: can a broken-looking site still win search?
Yes, and it is the most uncomfortable case here. Guilty Chef runs about 160 pages, pulls roughly 11,000 organic visits a month, and earns ~$700–800/mo from paid memberships on $0 of advertising 🗣 — with visibly broken HTML and a domain unrelated to food.
It beats far larger sites because it shipped schema markup and hundreds of pages while competitors argued about design. Search rewarded coverage over craft; we would rather say so than pretend polish was the variable.
What patterns hold, and what breaks?
Two acquisition machines dominate and barely overlap. One buys attention: Chart Detector AI spends ~$1.50 per download against ~$3 per user for a 2x ROAS, booking ~$11.5K profit on $43.7K of April revenue after ~$20K of ads 🗣. The other earns it: Guilty Chef and Frey's directory spend nothing and rank.
Glow says the quiet part out loud — over 80% of conversions happen during onboarding 🗣. On the organic side, Resumax turned 151,000 Instagram views into $2,400 by day 37, and Erik Cupsa's tool still grows at $1,400 MRR unmarketed.
What breaks is the middle. Quick Shorts is the one entry filed as a cautionary tale, and its only revenue number is a single day: $500+ at launch, after a 2.3M-view Reel collected nearly 10K emails. Demand was proven; retention never was.
The three 🔮 entries deserve the same skepticism: PermitSync at $99 plus $19/mo, SpecSheet at $49/mo, and a 67-minute Trello clone are price tags and demos. A price is a hypothesis.

What should you actually copy?
Copy the sequence, not the stack: sell one outcome by hand, take money for it, then build the thing that delivers it faster. Everything expensive in this cohort is distribution; everything cheap is code.
- 1.Charge before the dashboard exists. Setter AI and Launch Fast both closed a buyer with a promise, not a product.
- 2.Pick one machine. Paid (Chart Detector AI, Glow) needs ROAS math from day one; programmatic SEO (Guilty Chef, Frey's directory) needs page volume and schema. Half of each is how projects stall.
More in the built-with-AI hub: the larger Claude Code cohort and the Lovable cases that frequently sit on Supabase.
Frequently asked questions
Is Supabase good enough for a real paying product?
On this evidence, yes. Twenty-three tracked products run on it, including one at $56K/mo and two verified figures between $8K and $21.8K a month. What the data cannot tell you is whether Supabase caused any of it — it is a backend choice, and none of these businesses won or lost on their database.
How much do apps built with Supabase make?
Nine of the 23 publish a clean current monthly figure. Their median is $10K/mo and their range is $100/mo to $56K/mo. Do not apply that median to the other fourteen: most disclose cumulative totals, launch-day spikes, or daily numbers instead, and founders who publish results tend to be the ones with results worth publishing.
Which is the most believable benchmark for a solo founder?
Launch Fast, at roughly $21.8K/mo ninety days in, with a verified grade and a non-technical solo operator. Uneed is the steadier one at ~$8K–10K/mo, also verified, and it took more than thirty dead projects to get there. Both are closer to a realistic ceiling than the App Store estimates in the same table.
Does a verified grade mean the business is safe to copy?
No. Verified means an outside source confirmed the stated figure. It says nothing about churn, margins, market size, or whether the channel is still open. Fluently is verified at about $100 MRR and barely covers its own ad spend. Use the grade to weigh the claim, then judge the business on whether you can reach its buyers.