Warm AI
- Founder-disclosed revenue
- Public pricing page
- Product Hunt launch Sep 2026
TrendLens estimates monthly revenue for 20,132 SaaS products as a range with a confidence score, and shows every signal behind it. No black-box numbers.
Most SaaS revenue tools turn ad spend into one MRR figure. But ad spend is not revenue: a company spending $100K a month on ads can earn $50K or $300K, and ads may be only one of its channels. Build on that number and you are betting on a guess you can't see.
Three steps, recomputed every week.
Founder revenue posts, marketplace listings, pricing pages, 45,719 user reviews, search demand and ad activity.
Signals that agree raise confidence; conflicting or single-source data lowers it. Disclosed numbers are labelled as such.
Low, best and high monthly revenue, a 0–100 confidence score and the evidence list — so you decide how much to trust it.
Snapshot of 12 October 2026, monthly revenue in USD. Confidence measures how strongly independent sources agree, not how narrow the range is.
Filter 12 categories by revenue range, confidence and review gaps to find markets where customers already pay.
Dev studios check whether a client's idea has comparable products earning real money.
Review analysis surfaces the features users ask for and don't get — your positioning, written by their customers.
Popular ad-spend tools compute revenue with one fixed chain: Meta reach ÷ 1,000 × CPM = ad spend, × 4 weeks × 1.5 ROAS, × 1.5–2 for other channels. Every step is an assumption applied to every company:
A brand burning cash to grow and a profitable one get the same multiplier. Real return on ad spend ranges from below 1× to 5×+.
Ad Library reach data is published mainly for ads shown in the EU/UK, so the CPM model is EU/UK-only. US-heavy campaigns are under- or mis-counted.
Products that grow through SEO, Google Ads, marketplaces or sales teams show up as near zero — often the most profitable ones.
| Feature | Meta-ad-spend tools | TrendLens |
|---|---|---|
| Output | One MRR number | Range + confidence score |
| Products covered | 14,500+ claimed | 20,132 tracked |
| Non-advertisers | ✕ Revenue ≈ $0 | ✓ Estimated from other signals |
| Main input | Meta reach × CPM × fixed 1.5 ROAS | 6 independent signal types |
| Shows its evidence | ✕ No | ✓ Per estimate |
| Organic, Google & enterprise revenue | ✕ Not visible | ✓ Via disclosures, pricing, demand |
| Verified vs estimated label | ✕ No | ✓ Yes |
We combine independent signals — founder revenue disclosures, marketplace listings, public pricing, review volume, search demand and ad activity — and output a monthly revenue range with a 0–100 confidence score. Every estimate lists the evidence it uses.
Only when a founder or marketplace discloses it, and we label that source. Everything else is an estimate. We show a range instead of a single number because a single number hides how uncertain the estimate is.
Ad spend is one input, not the answer. A company spending $100K a month on ads might earn $50K or $300K, and ads may be only part of its acquisition. We weigh ad data against disclosures, pricing and demand, and lower the confidence when sources disagree.
20,132 SaaS products from Product Hunt across 12 categories, with 45,719 reviews and 8,755 pricing tiers. Revenue ranges are recomputed weekly.
Indie founders choosing what to build, dev studios validating client ideas, and marketers researching competitors.
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