I make $32K/month from 3 simple, boring websites¶
Source¶
- Video: I make $32K/month from 3 simple, boring websites
- Publisher: Starter Story
- Duration: 14:30
- Source coverage: Complete YouTube auto-generated English transcript, 427 timestamped segments from 00:00 to 14:24
This note contains only claims and advice presented in the video. It is not a verbatim transcript; the automatic captions may misrecognize names, product terms, and figures. Revenue, subscriber, conversion, traffic, and cost figures below are the interviewee's or hosts' reported figures, not independently verified results.
The three products and the reported numbers¶
Rashid says he runs a portfolio of bootstrapped SaaS companies that generates about $32,000 per month. The main product, AngelMatch, helps early-stage startups find investors; InvestorHunt is another investor database; and JournalistHunt is described as a database of journalists for small businesses and media companies seeking press coverage. The opening caption renders the first monthly metric as “MMR”; the interview later uses “MRR,” so this note preserves the source wording rather than resolving it.
Video references: 00:00 · 01:38
Rashid reports AngelMatch at $29,000 MRR, 360 active subscribers, a 33% trial-conversion rate, and 800–1,000 daily clicks, with pricing starting at $59 per month. He reports InvestorHunt at $2,800 with $57, $97, and $297 tiers, and JournalistHunt at $260 with basic and middle tiers between $49 and $99 per month.
Video reference: 02:18
The business started with a painful problem¶
The host's central framing is that these businesses work because they solve a painful problem. The sponsor segment about a separate database of business problems is omitted here because it is promotional rather than part of the case study.
Video reference: 03:22
Rashid says he is not a technical founder and studied finance. While building a fintech investment app with a college friend, he raised $100,000 from family and friends, maxed out credit cards, and took personal loans. To raise more capital, they manually built a list of investors. That experience showed him that cold email could work, while finding a usable investor list was tedious and time-consuming.
Video reference: 04:41
He and his cofounder then tested whether other early-stage founders had the same problem. They assembled about 40,000 investors with a small team, launched on Product Hunt, and made about $4,000 in the first month. He presents the product as an attempt to solve their own problem that revealed demand from other founders.
Video references: 05:53 · 06:17
Distribution: SEO plus useful content¶
Rashid says he noticed roughly 60 daily clicks in Google Analytics, then hired six content writers and began publishing blog posts consistently. The team also built free tools and other useful content. After six to eight months, he says MRR grew from $3,000 to $20,000 through SEO and Meta Ads, with a peak of $43,000 MRR.
Video reference: 06:41
His stated reason for the products' performance is audience-problem fit: they targeted early-stage startups raising capital because they had experienced that problem themselves. He also says choosing a niche matters.
Video reference: 07:43
A repeatable database-product sequence¶
For possible new products, Rashid suggests an influencer database categorized by location, audience size, and topic, or a newsletter database tracking sponsored content. He says both would save users time that would otherwise be spent researching manually.
Video reference: 08:23
His restart sequence has three parts: choose a directory or database idea that solves a particular problem; collect the data manually at first or automate collection if technically capable; then launch, get attention, and look for feedback, sign-ups, and payments as signals. He specifically recommends programmatic SEO for directory and database products and says it brings half of their revenue.
Video references: 09:07 · 09:51
Stack and reported operating cost¶
The stated stack is Next.js on the front end, Nest.js on the back end, PostgreSQL, Ahrefs, DigitalOcean, Nylas for email outreach, Cloudflare for bot prevention and security, “Clavio” for email flows and marketing, and G Suite for email. “Clavio” may be an automatic-caption recognition error; the video does not clarify it.
Video reference: 10:20
Rashid says all of the listed apps cost about $62 per month. This is a reported figure from the interview, not an independently checked cost calculation.
Video reference: 10:49
What the hosts emphasize¶
Rashid's advice is to be patient, put in the work, and not give up. He contrasts his current results with founders who initially earned more but stopped.
Video reference: 11:09
The hosts' interpretation is that the model is durable because it addresses a painful problem rather than following a trendy AI cycle. One host adds that businesses are willing to pay for serious B2B problems and that B2C directories may be harder to monetize; this is the host's opinion, not a conclusion independently established by this note.
Video references: 12:37 · 12:51
The hosts also say influencer databases are promising because influencers can be difficult to find and reach, while businesses book them.
Video reference: 13:40
Content boundaries¶
This note does not verify the businesses' revenue, traffic, pricing, conversion, or operating-cost claims. It adds no market research, technical recommendation, or legal, financial, or business advice beyond the video. It omits the sponsor and closing calls to action. Automatic captions may contain recognition errors. The raw export was used for one-time manual verification and is not retained.