Three websites. $32,000 a month. Zero AI hype.
Rashid runs AngelMatch, InvestorHunt and JournalistHunt. All three are the same thing underneath: a big list of people someone needs to reach, behind a paywall.
If you've been hunting for database business ideas that still work in 2026, this is the cleanest case study I've seen in a while. No viral launch. No AI wrapper. Just a painful problem, a spreadsheet that became a product, and six content writers.
Pat Walls had him on Starter Story this week. I pulled the whole playbook out, with the real numbers, the tech stack, and the two ideas Rashid would build if he started over.
The three sites and what they make
Rashid shared his dashboards on camera. Here's the split, as of the recording:
- AngelMatch: a database of about 125,000 angels and VCs for early-stage founders raising capital. $29,000 MRR. 360 active subscribers. 33% trial-to-paid conversion. 800 to 1,000 clicks a day from organic, referral, direct and a bit of paid Facebook. Plans start at $59 a month, with tiers in the few-thousand-dollar range depending on how many investors you want to contact.
- InvestorHunt: a plain investor database. $2,800 MRR. Pricing at $57, $97 and $297. Zero marketing. SEO only.
- JournalistHunt: 200,000 journalists, for small businesses and media companies chasing press. $260 MRR. Buyers mostly pick the $49 to $99 tiers.
Total: roughly $32,000 in MRR across the portfolio. At the peak, AngelMatch alone hit $43,000 MRR.
Notice the shape of this. One product carries the portfolio. The other two are the same engine pointed at a different list. That's the whole thesis of a database business: once the machine works, the data is the only thing you swap.
The idea came from maxed-out credit cards
Rashid isn't technical. He studied finance. In his last year of college he and a friend started a fintech investment app.
They raised $100,000 from family and friends. He maxed out his credit cards. Took personal loans.
Still not enough.
So they had to go find real investors, angels and VCs, and the only way to do that was to build a list by hand. Manually. Name by name.
That list worked. It got them calls with some big VC names at the time. Two lessons came out of it:
→ Cold email works.
→ Building the list is a miserable, time-eating job that every early-stage founder has to do.
The fintech app isn't the story. The spreadsheet is.
If you've ever built a tool for yourself in the middle of building something else, you know this feeling. The side thing solves a sharper pain than the main thing. Most founders ignore it. Rashid didn't.
$4,000 in month one from a Product Hunt launch
The test was cheap. They assembled about 40,000 investors with a few people helping, launched it on Product Hunt, and waited.
That month they made around $4,000.
Not life-changing. But it proved the theory: if finding investors was this painful for them, it was painful for thousands of other founders too. The idea "happened accidentally," in his words, by solving their own problem.
I want to underline how small that validation step was. No six-month build. No fundraising deck for the database itself. A partial dataset, a launch, a number on the screen. If you need a process for this, I wrote one up in how to validate a SaaS idea before you write code.
The 60-clicks-a-day moment
This is my favorite part of the episode.
Rashid was staring at Google Analytics. AngelMatch was getting about 60 clicks a day. And he asked himself one question:
"What if I 10x this traffic? Would that 10x my MRR?"
That question is how he discovered SEO.
What he did next:
- Hired six content writers and published blog posts consistently
- Had the tech team build free tools alongside the paid product
- Kept that up for six to eight months before traffic really moved
- Layered Meta ads on top once organic was working
Result: $3,000 MRR to $20,000 MRR, mostly from SEO, with ads on top. Then the climb to $43,000 at the high point.
Six to eight months of publishing before the curve bent. I keep saying this to Club members and they keep not believing me. SEO is slow, then it's the cheapest channel you own. Rashid's numbers are the proof: today around half his revenue comes from programmatic SEO.
Why database products work (and when they don't)
Rashid's own answer is simple: every site solves a specific problem for a specific audience. He was an early-stage founder building for early-stage founders, so the positioning was free.
He also called out the niche angle. There are endless directories you could build: real estate investors, stock traders, whatever. The one that wins is the one tied to a painful, urgent job.
Pat and Gus added a filter at the end of the episode that I agree with completely:
→ It has to be B2B.
When a startup can't find investors, the company dies and payroll doesn't clear. That's a pain people pay $97 a month to relieve. A consumer directory of dog trainers (or Starter Story's old bookamagician.com experiment) doesn't carry that urgency, so it can't carry that price.
Put differently: people don't pay for rows in a table. They pay to skip three weeks of manual research. The database is just how you deliver that.
This is the same pattern I covered in three one-feature apps doing $100K a year. Boring on the surface, sharp underneath.
Rashid's 3-step playbook if he started over in 2026
Pat asked him the question everyone wants answered: if you had to start from zero right now, what would you do? Three things, in order.
Step 1: Pick a database that solves one particular problem
Don't start "a directory." Start a directory that removes a job someone is already doing badly by hand. The test is whether you can name the person, the task, and the reason it hurts.
Step 2: Collect the data, manually if you have to
Rashid built his first 40,000 records by hand with a few helpers. If you're technical, automate it. If you're not, hire it out or grind. Either way, the data is the moat at the start, so don't skip the unglamorous part.
Step 3: Launch, get eyeballs, then go all in on programmatic SEO
Ship it, get the first signups, and watch whether anyone pays. If someone does, you have a signal. Then build the traffic engine. For directory products, programmatic SEO is the channel: one page per record, per category, per city, whatever your data naturally splits into. Rashid says that's where half his revenue comes from.
(This is the part I'm biased about. I build Distribb precisely because SEO is the channel bootstrapped founders keep underinvesting in. Rashid's story is the reason.)
Two database business ideas Rashid would build today
He gave two, unprompted:
- An influencer database. Creators categorized by location, audience size and what they post about, behind a paywall. Pat noted a lot of these are popping up right now, which tells you the demand is real. Influencers are hard to find and hard to reach, and businesses are actively booking them.
- A newsletter sponsorship database. There's a lot of sponsored content flowing through newsletters, and finding the right ones by hand takes forever. Curate it, structure it, charge for it.
Both pass the B2B test, and in both cases the buyer already has a budget line for the manual version of the job.
I'd add one filter of my own before you pick: can you get the first 10,000 records in a month without a team? If the data is locked behind something you can't reach, the idea is fine but the timing isn't.
The tech stack (about $62 a month)
For a $32K MRR portfolio, the stack is almost insultingly normal:
- Next.js on the front end
- Nest.js on the back end
- PostgreSQL for the database
- DigitalOcean for hosting
- Ahrefs for SEO
- Nylas to power the email outreach inside AngelMatch
- Cloudflare to block bot signups
- Klaviyo for email flows and marketing
- Google Workspace for email
Rashid's number for the whole app bill: about $62 a month.
Remember he's a non-technical founder who always hired developers to build this. Nobody subscribes because of Nest.js. They subscribe for the 125,000 names.
My take: the boring ones survive
Gus said the thing out loud at the end. This is an "older type of business." Database information. It feels almost out of date next to the AI app stories the channel usually runs.
And that's exactly why I wanted to write it up.
Every week I talk to founders who are three months into an AI product that has no moat beyond a system prompt. Rashid has been compounding the same three sites for years. When the trend cycle turns, his traffic still shows up. His 360 subscribers still need investors.
His advice to his younger self was just: be patient, put in the work, don't quit. He pointed out that founders who started alongside him were making far more at the time. They gave up. He doesn't see them anymore.
I paid $13,000 for a mastermind when I was making $15K to $20K a month, partly because I needed people around me who wouldn't let me quit during the slow months. Six months later I was at $75K a month. The lesson wasn't a tactic. It was staying in the game long enough for the tactics to work.
Rashid's version of that is six to eight months of blog posts before the traffic curve moved. Same lesson, different costume.
If you want more of the unflashy kind, read how Savvy Nomad built a $1.7M a year business in the most boring niche. Same energy.
FAQ
What is a database business?
A website that collects hard-to-gather information (investors, journalists, influencers, suppliers) into one searchable, structured place and charges for access. Rashid's AngelMatch is the model: about 125,000 angels and VCs, subscriptions from $59 a month, $29,000 MRR.
Do directory and database websites still make money in 2026?
Yes, when they're B2B and tied to a painful job. Rashid's three sites do about $32,000 MRR combined. The ones that struggle are consumer directories with no urgency behind the search, which can't support real pricing.
How do you get traffic to a database website?
Programmatic SEO. Rashid grew AngelMatch from $3,000 to $20,000 MRR mostly through SEO after hiring six content writers, shipping free tools, and publishing consistently for six to eight months. Today it brings around half his revenue, with Meta ads layered on top.
How much does it cost to run a database SaaS?
Less than you'd think. Rashid's stack (Next.js, Nest.js, PostgreSQL, DigitalOcean, Ahrefs, Nylas, Cloudflare, Klaviyo, Google Workspace) costs him about $62 a month in apps. The real cost is building the data and paying people to create content.
What database business ideas are worth building right now?
Rashid's two picks: an influencer database (filtered by location, audience size and topic) and a newsletter sponsorship database. Both replace a manual research task that businesses are already paying people to do.
Want more founders like Rashid, with the real dashboards?
This is what the Profitable Founder Podcast is for. Every week I interview bootstrapped SaaS founders doing $100K to $10M a year about the unglamorous decisions that got them there: pricing, churn, SEO, the slow months. Real numbers, no hype.
