Most SaaS apps don’t get hacked by “advanced attacks.
They fail on boring exposure gaps nobody tests early.
I map Web/API risk for early-stage SaaS teams.
Delivered a Lite Audit last week for an early-stage fintech (anonymized).
Found key issues in signup, onboarding, and API permissions, all actionable fixes founders can implement immediately.
Always satisfying to see teams take security seriously.
If your JWT signing key hasn't been rotated in over a year, that's the same key environment in over a year
If it gets leaked once, every token ever issued was forgeable.
In simpler terms: Security is not a "maybe"
Better than to be safe than sorry
@BacLeodiv You debate product vs audience, but miss the real question: what breaks first if someone tries to abuse it?
if abuse isn’t considered early, both end up exposed anyway
@bhaveshbuildz Clean build. Most habit systems work until user behavior becomes inconsistent rather than daily, how does your system behave when streak logic starts getting partially broken instead of fully maintained?
@ozandagdeviren@ProductHunt Most structured systems hold up in design but fail in edge cases. Have you put this through any adversarial or security-style testing yet, or is it still internally validated?
@LeicesterCook Cross-border payment link systems usually fail at the edge cases, replay, reuse, and identity binding between invoice and payer. How tightly are those flows coupled in your implementation?
@0xdevug I checked out your saas, nice one man but structure extraction is where these tools usually break down. How are you handling edge cases where the video mixes code, explanation, and rapid context switches without losing hierarchy?
@ayushagarwal Not unpopular, just under-implemented. The real challenge is reliability, internal AI tools fail quietly, so most of the value comes from error handling, not generation
@one2358 This is crazy, the hard part isn’t generation, it’s recovery from ambiguous build failures. How do you prevent the agent from looping on partial fixes without converging?
@chhddavid Strong execution pitch, but how are you defining “works like a user” in practice and also what are you using to validate correctness vs just successful runs?
@chddaniel Building is getting cheaper, sure.
But what stops people from mass-generating low-quality apps that break at scale or leak data?
Are you seeing any guardrails on output quality, or is it still “build fast, fix later?