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Flare AI
Cloud and SaaS audit investigations for vibe-coded teams
Shipping a vibe-coded project? Flare AI helps small teams investigate who gained access, what changed, and what needs attention in cloud and SaaS audit logs. Review findings and source evidence for AWS and Google Cloud, with Google Workspace and GitHub Enterprise Cloud audits in early access. Try the sample and help shape Flare as an early tester.
Hi everyone! I built Flare for small teams and builders shipping vibe-coded projects who need to understand what is happening in their cloud and SaaS environments.
AI can help you ship quickly, but you still need to investigate who has access and what changed. I want useful, lightweight SIEM capabilities to be accessible without a dedicated security team. I believe detection should pay more attention to changes in behavior, alongside predefined rules.
A service account receives Owner access. Was it approved? What does the audit event actually prove, and what still needs checking? That’s the investigation our public sample walks through.
Today, Flare brings ranked findings and supporting evidence together for AWS and Google Cloud, with Google Workspace and GitHub Enterprise Cloud audit reviews in early access. Capabilities vary by source: GitHub reviews use deterministic rules and don’t offer follow-up chat.
It uses fictional records and scripted replies, so you can explore the workflow without sharing your logs.
If you’re shipping a vibe-coded project, I’d love your help testing Flare. Tell me which cloud or SaaS services you use and one access or activity question you struggle to answer. If you would join a short sample walkthrough, say so too. We can start with fictional data; no production logs or credentials needed.
About Flare AI on Product Hunt
“Cloud and SaaS audit investigations for vibe-coded teams”
Flare AI was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #66 on the daily leaderboard. Shipping a vibe-coded project? Flare AI helps small teams investigate who gained access, what changed, and what needs attention in cloud and SaaS audit logs. Review findings and source evidence for AWS and Google Cloud, with Google Workspace and GitHub Enterprise Cloud audits in early access. Try the sample and help shape Flare as an early tester.
On the analytics side, Flare AI competes within Developer Tools, Artificial Intelligence and Security — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Flare AI performed against the three products that launched closest to it on the same day.
Who hunted Flare AI?
Flare AI was hunted by Ariel Smoliar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Flare AI including community comment highlights and product details, visit the product overview.
Ariel Smoliar
Hi everyone! I built Flare for small teams and builders shipping vibe-coded projects who need to understand what is happening in their cloud and SaaS environments.
AI can help you ship quickly, but you still need to investigate who has access and what changed. I want useful, lightweight SIEM capabilities to be accessible without a dedicated security team. I believe detection should pay more attention to changes in behavior, alongside predefined rules.
A service account receives Owner access. Was it approved? What does the audit event actually prove, and what still needs checking? That’s the investigation our public sample walks through.
Today, Flare brings ranked findings and supporting evidence together for AWS and Google Cloud, with Google Workspace and GitHub Enterprise Cloud audit reviews in early access. Capabilities vary by source: GitHub reviews use deterministic rules and don’t offer follow-up chat.
Try the sample without connecting an account: https://tryflare.ai/demo
It uses fictional records and scripted replies, so you can explore the workflow without sharing your logs.
If you’re shipping a vibe-coded project, I’d love your help testing Flare. Tell me which cloud or SaaS services you use and one access or activity question you struggle to answer. If you would join a short sample walkthrough, say so too. We can start with fictional data; no production logs or credentials needed.