5. Deconstructing $10k+ MRR Startups for New Ideas (Part 2)
We're analyzing four more successful apps—Habitkit, Hyperping, Screenshotone, and Reelfarm—to find the pain points and niches they missed.
In our last article, we analyzed several high-revenue startups to hunt for customer pain points. (If you missed it, you can read Part 1 here.)
This week, we’re jumping straight into four more successful products to see what opportunities we can uncover.
Habitkit: $15k MRR
This is a B2C habit tracker. The best part about analyzing an app like this is the wealth of public feedback in the App Store and Play Store reviews. The bad part, for our purposes, is that the reviews are overwhelmingly positive, sitting at 4.8 and 4.9 stars.
Digging into the few negative reviews, the complaints center on the pay model (common for any paid app), UX clutter when tracking many habits at once, and a poor tablet experience.
Verdict: While the author is clearly doing well, these specific complaints (tablet UX, power-user clutter) don’t feel like a large or urgent enough niche to build a dedicated competitor around.
Hyperping: $15k MRR
Hyperping provides app downtime detection and hosted status pages. The value proposition is clear to any developer: get alerted before your customers tell you the app is broken. The target market is broad, from small companies needing simple outage detection to larger ones using status pages for client communication.
An app like this will always have gaps in its detection methods or escalation integrations. For example, most tools check if a page loads (a 200 status code), but not if it loads correctly (e.g., visual regression testing, checking for broken JavaScript). This could be a powerful niche.
Verdict: The main challenge is the intense competition (Better Stack, OneUptime) and the number of “freemium” tools. The churn of past competitors is also a warning sign. I’d only pursue this by finding one specific company whose monitoring needs are clearly unmet and building for them first.
Screenshotone: $10k MRR
This is a developer-focused API that takes a screenshot from any URL. Its key feature is the custom logic built to automatically handle cookie banners, “click here” popups, and other overlays. It’s marketed to developers who want to automate visual checks after a build, complete with SDKs for multiple languages.
Rivals like CaptureKit look more polished and boast faster speeds and more integrations (like Zapier). The fact that Screenshotone is thriving despite this suggests the market is large and the “smart” overlay-blocking feature is a real differentiator.
Verdict: This is interesting. My next step would be to interview frontend developers to understand what else they wish a tool like this could do. There’s also a fascinating meta-idea: could you use this API as the engine for a Hyperping competitor that detects visual website issues, not just downtime?
Reelfarm: $10k MRR
ReelFarm automates the creation of AI-generated videos on various topics. The target market appears to be content marketers and entrepreneurs who need to create a high volume of “short-form” content (Reels, TikToks) to drive traffic to their main project.
As with any hot AI niche, there are many alternatives (SoPilot, GenViral, SendShort). The opportunity isn’t to be just another generator, but to focus on a specific, unsolved pain point.
Two ideas stand out:
Brand Consistency: Most tools generate generic-looking content. A tool that could ingest a brand’s existing content (blog posts, long-form videos) and generate new videos in that style would be powerful. Leveraging modern, realistic voice generation is a key part of this.
Data-Driven Creation: Don’t just make videos; make what works. A system that A/B tests different video styles, hooks, or CTAs and automatically optimizes for a specific metric (e.g., engagement, clicks) would be a killer feature.
Verdict: This space is moving fast, but the ideas feel promising. My go-to strategy here would be 100% validation before writing a line of code: create a landing page for one of these specific angles and see if anyone signs up.
That’s all for this batch. The key takeaway is that even in crowded markets, specific, unsolved pain points always exist.
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