IncidentPost's answer

Speed: 2 minutes vs. 2+ hours of manual writing.

Zero friction: No account needed to try. Paste and go.

AI that understands incidents: Our Gemini-powered AI is trained on SRE best practices — 5 Whys root cause analysis, blameless culture, SMART action items.

Complete package: You don't just get a report. You get a public page, social media drafts, and downloadable exports (Markdown, timeline SVG, ZIP bundle).

One-time payment: $199 per incident. No subscriptions. No vendor lock-in. Own your postmortem forever.

Privacy-first: Zero data retention. We process in-memory and discard immediately.

TranscriptFetch's answer:

Three reasons. Coverage: one API key and one response shape across five video platforms and the open web, instead of stitching together a library per platform. Reliability: requests run through rotating infrastructure, so code that works locally keeps working from a server, which is where most open-source approaches break. Billing that matches reality: one credit per successful response, with failed, blocked and empty results never charged. That last point matters on short-form video, where a meaningful share of any batch is music with no speech in it. There is also an MCP server, so AI agents can fetch transcripts as a tool without a custom integration.

IncidentPost's answer

SREs, DevOps engineers, and on-call developers who are responsible for writing incident postmortems but would rather spend that time fixing systems . Startup CTOs and engineering managers who need professional incident documentation for stakeholders and investors but don't have dedicated SRE teams.

Any engineer who has ever stared at a blank postmortem template at 2 AM and thought, "There has to be a better way."

TranscriptFetch's answer:

Developers and technical teams building on video and web content. The common cases are RAG and retrieval pipelines that need video as text, AI agents that need to read a link mid-conversation, content teams repurposing short-form video at scale, and media monitoring and research tools. It is an API first, so the buyer is usually the person writing the integration rather than an end user. The free browser tools exist for one-off transcripts and for evaluating output quality before writing any code.

IncidentPost's answer

I've been on-call for years. After every incident, there's this dreaded task that sits on the todo list — "write postmortem." It would stay there for days, sometimes weeks.

Not because I didn't care about learning from incidents, but because the process was exhausting. Digging through Slack threads, reconstructing timelines, formatting everything into a coherent document — it felt like reliving the incident all over again.

One night, after a particularly brutal outage, I thought: "What if I could just dump all my notes and have something write this for me?"

That's IncidentPost. I built the tool I wished existed during every 2 AM incident. Paste the chaos, get the clarity. Two minutes, not two hours. Back to building, not documenting.

TranscriptFetch's answer:

It started with discovering there is no good way to get the text of a video. YouTube’s official Data API will confirm a caption track exists and then refuse to hand it over, because captions.download requires the video owner’s OAuth token. The popular open-source libraries work until you deploy them, at which point platforms start refusing datacenter IPs. And YouTube is the easy case: TikTok and Instagram publish no caption file at all. Every workaround solved one platform, worked locally, and broke in production. TranscriptFetch is the version that handles the failure cases as first-class behaviour rather than edge cases.

IncidentPost's answer

• Google Gemini (AI postmortem generation)
• Astro (frontend framework)
• Vercel (deployment + edge functions)
• Supabase (database + payment tracking)
• LemonSqueezy (payments + merchant of record)
• TypeScript (type-safe codebase)

TranscriptFetch's answer:

Next.js with TypeScript and Tailwind on the front end and API layer, Clerk for auth with SHA-256 hashed API keys, Neon Postgres with Drizzle ORM, Redis for caching, and Stripe for billing. The extraction layer is a Python and FastAPI service. Speech-to-text uses Whisper-class models. The MCP server is published in the official Model Context Protocol registry with a DNS-verified namespace.

IncidentPost's answer

• SRE teams at early-stage startups
• Solo DevOps engineers at growing companies
• Engineering managers documenting incidents for board reports
• On-call developers who need quick, professional documentation
• Startup founders explaining outages to investors

IncidentPost's answer

IncidentPost is the only postmortem tool designed for speed, not process. While other tools force you to fill out forms and configure integrations, we take a different approach: paste your raw Slack logs, and AI generates a complete SRE-grade postmortem in 2 minutes.

No signup required. No complex setup. No learning curve.

We also generate what others don't — a public shareable page with SEO, a Hacker News post draft, and a Twitter thread. One click to publish your transparency, not hours of formatting.

TranscriptFetch's answer:

Most short-form video has no caption track to download. TikTok’s auto-captions are opt-in per upload, Instagram never publishes a downloadable track, and many captions on both are burned into the video frames where no parser can read them. TranscriptFetch transcribes the audio when no caption track exists, on the same endpoint, with the same response shape. Your code never branches on which method produced the text. It also covers YouTube, TikTok, Instagram, X and Facebook plus any web page as clean Markdown, so a pipeline spanning several sources is one integration rather than five.