Security scanner for Lovable/Bolt/Supabase-built apps
A pre-deployment scanner that finds exposed databases, leaked keys, and missing RLS in apps built with AI code generators, targeted at vibe-coders shipping on Lovable, Bolt, and v0.
Turn this into a build spec
One Universal Core, then the exact file layout your platform expects — CLAUDE.md, .cursor/rules, a Lovable knowledge base, a Bolt prompt under its 400-word ceiling. Evidence travels with it.
32 credits · every platform format after it is 5
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The full evaluation for this idea has not been generated yet. What is below is everything currently on file — we would rather show a short page than pad it.
Supporting evidence4
Multiple independent products already describe the exact same gap - AI-generated apps ship with exposed databases, leaked API keys, and missing RLS - suggesting a recurring, recognized pattern rather than a one-off complaint.
A specific named CVE affecting 170 production Lovable+Supabase apps shows the vulnerability class is concrete and exploitable, not hypothetical.
Demand spans multiple tool ecosystems (Lovable, Bolt, Cursor, v0) and personas (non-technical founders, SaaS founders, security testers), indicating the underlying problem is not tied to one platform.
Momentum is accelerating with a 90-day count far above 30-day, and freshness is near-maximum, indicating this is a live and growing conversation, not a stale niche.
Falsifying evidence4
At least seven near-identical scanner products already exist in this exact niche per the signals themselves (bleek, Blinkof.ai, Probe, Rivetz, and others), meaning any new entrant competes directly against a crowded field with no visible differentiation offered here.
The underlying AI code-gen platforms (Lovable, Bolt, Supabase) could ship this as a native pre-deploy check, since the failure mode (RLS off by default) is theirs to fix at the source.
Every signal comes from Product Hunt launch posts (12 of 13) rather than usage data, revenue, or retention; this is a wave of similar launches, not evidence of a durable paying market.
No competitor products are recorded in the database for this cluster despite the signals explicitly naming several, so competitor_gap cannot be assessed from what we have - this is a data gap, not a market gap.
Most likely cause of death
The founder ships a scanner into a field that Product Hunt data shows already has half a dozen near-identical tools (bleek, Probe, Blinkof.ai, Rivetz) launched within weeks of each other, and differentiation collapses to price or marketing rather than defensible technology - meanwhile the platforms causing the vulnerability (Lovable, Supabase) are the natural owners of the fix and can ship a basic version as a checkbox feature, killing the standalone product's reason to exist. Defensibility would require either deep single-stack specialization with real remediation (not just detection) or a distribution deal with one of the AI builder platforms themselves.
Demand ladder
A complaint is not a customer. Weighted ×1 / ×3 / ×8 / ×15.
Counted from clustered complaint signals. No candidate-relative commercial check was applied, so no revenue is attributed to this idea.
Verified revenue: not established for this idea. No record ties a revenue figure to a product selling what this would sell.
Momentum
Is this problem getting louder or quieter?
Saturation
How many people are already on it. Most sites hide this.
Problem evidence
Who feels this, how often, and why what they use today does not fix it.
A pre-deployment scanner that finds exposed databases, leaked keys, and missing RLS in apps built with AI code generators, targeted at vibe-coders shipping on Lovable, Bolt, and v0.
Sources and freshness
Every reference opens the original post. This is the part you should check first.
How sure are we, per claim
Where the data is thin, we say so instead of rounding up.
- demand
- Medium
- payment
- Low
- market size
- Low
- competitor gap
- No data
13 references from 13 signals.
Related opportunities
Nearest by what the problem actually is, not by category label.
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