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Tired of guessing what to build next? I created RandomProblem.dev to solve this.
Here's how it works: ๐ AI analyzes Reddit discussions to find real pain points ๐ก Delivers one random, validated problem with solution ideas ๐ One-click refresh for endless inspiration
Why this matters: โข 90% of startups fail - often because they solve imaginary problems โข The best ideas come from real people complaining loudly โข Now you can tap into this signal daily
Perfect for: ๐ Solo founders looking for their next project ๐ฉ๐ป Product teams validating market needs ๐ค Developers wanting to build something useful
Try it now and see what problem you get on first refresh! Would you build the solution?
Apollo.io
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RandomProblem.dev's answer:
Why does this exist? Because too many startups build solutions no one asked for.
I kept seeing founders (myself included) waste months on ideas that sounded cool โ but had no real demand. Meanwhile, people are screaming their problems online every day โ especially on Reddit.
RandomProblem.dev surfaces those raw, unfiltered painsโso you
Itโs the tool I wish existed when I started.
RandomProblem.dev's answer:
Solopreneurs, small teams, builders looking for what to build
RandomProblem.dev's answer:
Ease of use, hundreds of ideas from real problems posted on Reddit
RandomProblem.dev's answer:
AI (Ollama, Phi4), SvelteKit, Python, RabbitMQ
We use Apollo with our Sales and BDR team to manage our cold outreach. The strength of the platform is the sequences and cadences that you can set up. Compared to other tools we have used in the past like Salesloft the UI is much easier to navigate. The main limitation is that the quality of data isn't as vast and often I can find prospects on Linkedin but not in Apollo.
Based on our record, Apollo.io seems to be more popular. It has been mentiond 69 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Personal email domains destroy this. Clearbit's Enrichment API returns a null company when it hits gmail.com. Apollo routes personal domains straight to a consumer bucket and skips B2B fields entirely. Even PDL's /person/enrich endpoint โ the most permissive of the major providers โ gives you around 32% hit rate on Gmail addresses versus 74% on corporate domains. I measured this across 6,200 signups for a... - Source: dev.to / 3 months ago
A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns significantly more contacts per domain in Prospector-style queries than Clearbit's Prospector ever did โ the tradeoff is more stale titles in the result set. Hunter.io is fast and cheap... - Source: dev.to / 3 months ago
One thing comparison guides consistently get wrong: Clay is not an enrichment API. It's a waterfall orchestration tool that calls People Data Labs, Apollo, Clearbit, and others in sequence for you. It's useful, but it adds 2โ8 seconds of latency per row in my runs and costs more per match than going direct. For a CRM webhook flow where you need sub-second enrichment calls, Clay is the wrong layer to hit first. - Source: dev.to / 4 months ago
Last year I ran the same LinkedIn Sales Navigator export through three enrichment APIs. Apollo matched 61% of the emails. Hunter.io matched 54%. An OSINT-first pipeline I'd built in n8n โ pulling from public sources before hitting any paid API โ matched 79% and cost roughly $0.003 per contact. The delta wasn't magic. It was sequence. - Source: dev.to / 4 months ago
Despite having its LinkedIn Page removed in 2025, Apollo remains a functional enrichment and outreach platform with 275M+ contacts. The free tier includes 10,000 credits and the $49/month basic plan is the cheapest entry point for a combined enrichment-plus-sequencing workflow. Apollo's data collection methods have attracted LinkedIn's attention, but the product continues to operate. The risk I'd assign it:... - Source: dev.to / 4 months ago
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