The best tools for finding validated startup ideas

GummySearch is dead, and that changes the whole conversation

GummySearch was the default answer to "how do I find startup ideas from Reddit" for years. It stopped taking new signups on November 30, 2025, after Reddit priced commercial API access at about $0.24 per 1,000 calls, a cost structure that broke a $48 to $199/mo product with over 10,000 paying customers and $35k in monthly recurring revenue. It wasn't a bad tool. It got priced out by the platform it depended on. Existing subscribers keep access until November 30, 2026, then it's gone for good.

That single event is why "best tool for finding startup ideas" doesn't have a clean answer in 2026. The category split into three different jobs, and no single tool does all three well. Trend trackers show you what's growing. Idea databases show you what already worked for someone else. Demand-signal tools show you who is asking right now, with real usernames attached, and some of them, like Clawsmith, hand you those people as a lead list you can browse live demand signals from directly.

Here's the real comparison, with current 2026 pricing, so you can pick the one that matches what you're actually trying to do.

Mine Reddit and X yourself before you pay for anything

This is the $0 option and it's still the fastest way to hear a real complaint in someone's own words. Reddit's search is bad, so route around it with Google's site operator instead of the native search box.

site:reddit.com ("I wish there was" OR "does anyone know a tool" OR "is there an app that")
  "SaaS" -site:reddit.com/r/sales

Swap "SaaS" for your niche. Run the same query against X by dropping the site operator and using X's own search syntax, which supports exact phrases and date ranges:

"i wish there was a tool" OR "someone should build" min_faves:20 since:2026-01-01

The min_faves:20 filter matters. A complaint with 20+ likes already has social proof attached, which is the difference between a one-off gripe and a pattern. Expect to read 40 to 60 posts to find 3 to 5 worth acting on. That ratio is the actual cost of the free option, it's your time instead of a subscription.

Check GitHub issues for gaps with a paper trail

For anything developer-facing, GitHub issues are a better source than Reddit because the complaint usually comes with a feature request, a workaround someone hacked together, and a thumbs-up count showing how many other people hit the same wall.

site:github.com "feature request" OR "we need" in:title
  "budget" "AI agent" is:issue is:open

Run it through GitHub's own search UI too, which supports reaction filters:

is:issue is:open label:"enhancement" reactions:>15 "no way to"

15+ reactions on an open, unresolved feature request is a strong signal nobody's shipped the fix yet. Cross-reference the repo's own release notes before you build. OpenClaw alone shipped 15 releases in the first 19 days of May 2026 across 850+ contributors, so a gap that looked open last month may already be patched.

Track raw growth with a trend tracker before you niche down

Exploding Topics and Glimpse both answer a narrower question than Reddit or GitHub mining: is search interest in this category actually accelerating, or does it just feel that way because you're deep in it. Exploding Topics runs three tiers, Entrepreneur at $39/mo for 100 tracked trends, Investor at $99/mo for 500 with forecasting, and Business at $249/mo for 2,000 trends plus team seats. Glimpse starts around $99/mo and adds cross-platform breakdowns showing which of TikTok, Reddit, Instagram, or YouTube is actually driving the volume, with enterprise tiers running $500+/mo for unlimited lookups and API access.

Both tools categorize each topic as exploding, regular, or peaked based on the trend curve. The practical filter, whichever tool you use, is to only act on a topic in the exploding bucket with at least 12 months of upward slope, not a single-month spike that's really a news cycle. Neither tool shows you a real person's post or gives you a lead to contact. That's the tradeoff: broad, fast, keyword-level signal instead of a specific complaint from a specific human.

Validate commercial intent before assuming demand means revenue

A lot of demand signals point at problems nobody will pay to fix. Keyword tools like Ahrefs check whether people are already searching with buying intent, not just complaining. Ahrefs runs five tiers in 2026: Starter at $29/mo (25 tracked keywords, reduced history), Lite at $129/mo, Standard at $249/mo (2,000 tracked keywords, 2 years of history), Advanced at $449/mo, and Enterprise at $1,499/mo.

The signal to look for is search volume next to a high cost-per-click on the paid-ads side. A keyword with 1,000 monthly searches and a $12 CPC means someone is already paying to acquire that customer, which means the category has money moving through it. A keyword with 10,000 searches and a $0.20 CPC usually means informational intent, people looking something up, not people about to buy. This step is worth doing even if your idea came from Reddit or GitHub, it's the fastest way to kill an idea that has real complaints but no real budget behind it.

Idea databases are inspiration, not receipts

Ideabrowser and Starter Story solve a different problem: pattern recognition across thousands of businesses that already exist, not proof that your specific idea has demand today. Ideabrowser's 2026 pricing is Starter at $499/yr for 1,000+ pre-researched ideas and 20 AI-generated ideas a month, Pro at $1,499/yr adding 3 AI research-agent reports a month on your own idea, and Empire at $2,999/yr adding weekly coaching calls. Starter Story dropped its monthly plan entirely and now sells lifetime access at $695 to $1,095, or $3,995 as a one-time payment, for a database of 4,000+ founder case studies with real revenue numbers.

Both are genuinely useful for learning what a working business in a category actually looks like. Neither one tells you whether anyone is asking for YOUR idea right now, because the content is retrospective, built from businesses that already succeeded, not from live complaints. If you already have an idea and want to pressure-test it against real people asking for it today, that's a different tool category entirely.

Where the leads live: demand signals that carry receipts

This is the gap Clawsmith sits in. Instead of generating ideas or tracking a keyword's search curve, it scans 12+ platforms, Reddit, GitHub, Hacker News, X, Product Hunt, Stack Overflow, and more, every 1 to 3 hours, and scores what it finds across four dimensions: hype, gaps, money, and pain. When the same complaint shows up across multiple sources it becomes a candidate opportunity, and the people who voiced that complaint get pulled into a lead list at the same time, not as a separate step later.

Pulling this from a coding agent takes two calls. Connect the MCP server first:

{
  "mcpServers": {
    "clawsmith": {
      "type": "http",
      "url": "https://www.clwsmth.com/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_CLAWSMITH_API_KEY"
      }
    }
  }
}

Then ask your agent to browse and pull a brief:

Use Clawsmith to search signals for "AI agent cost budget"
Then get the product brief for the highest-scoring idea it clusters into

Two real examples from that exact search, pulled live: a signal titled "AI Coding Agent Costs Blow Out Silently, $197 in One Day, No Native Budget Guardrails" scored 1,394 on virality, citing a real incident where a builder burned $197 in a single day and a separate finding that 56% of Claude Code spend across sampled sessions was idle turns. A second, related signal documents Uber exhausting its entire 2026 AI budget by Q1 after rolling Claude Code out to 5,000 engineers, plus a 4-agent LangChain loop that ran for 11 days and cost $47,000, referencing a Hacker News thread that hit 306 points. Those two signals, plus others like them, cluster into an idea already sitting in Clawsmith's database: "A web app that enforces hard dollar and token budgets per AI agent and kills runaway sessions before they blow the monthly spend," tagged ai_agent_mcp. Every claim in that idea traces back to a source URL and an engagement number, not an AI guess.

The free tier is the full dashboard, every signal, every score breakdown, no paywall. The $199/yr tier ($25/mo) unlocks the agent-ready feature prompts, the source posts behind each signal, and the lead list itself, the actual usernames who asked for the thing, ready for outreach before you've written a line of code. Check current pricing and the rest of the startup-ideas archive for more of these breakdowns.

Pick by budget and stage, not by hype

If you have $0 and time to spend, start with manual Reddit and GitHub search operators. That's also the right move if you're validating a single specific idea rather than browsing for one.

If you have a $39 to $250/mo budget and want to catch a category before it's crowded, use Exploding Topics or Glimpse, but don't stop there, neither one gives you a person to talk to.

If you're validating commercial intent on an idea you already believe in, run it through Ahrefs before you build anything. A $29/mo Starter plan is enough to check search volume and CPC on 25 keywords, which is plenty for one idea.

If you want pattern recognition across thousands of existing businesses and have $500+ to spend once, Ideabrowser or Starter Story are worth it, but budget them as education, not validation.

If your idea lives anywhere near AI agents, coding tools, or the OpenClaw ecosystem, and you want both the demand proof and the first people to sell to in the same place, Clawsmith's free tier costs nothing to check, and the $25/mo tier is cheaper than every other paid option on this list except the base Ahrefs plan.

None of these replace actually talking to the person who complained. They just tell you who to call.