Spectr Breakdown
Turn product meetings into a reviewed, ready-to-ship backlog
17 community upvotes on Launch Llama
Rated 5.0/5 by 1 founder.
Categories: Artificial Intelligence Productivity Automation
Key facts
- Maker: Aram Melkoumov
- Categories: Artificial Intelligence, Productivity, Automation
- Community upvotes: 17
- Rating: 5.0/5 (1 reviews)
- Website: https://spectr.pm/
- Related topics: meeting to backlog, AI user story generator, PRD generator, product requirements from transcripts, ProductOps, Linear, Jura, Shortcut, Fathom, Granola
About Spectr
Spectr turns product meetings into a reviewed, ready-to-ship backlog. It pulls the call from Fathom, Granola, or Read.ai (or a pasted transcript), reads it against your real project context in Notion, Google Drive, Figma, and GitHub, and drafts the spec, requirements, and user stories with acceptance criteria. Nothing publishes without a human yes. A PM reviews and approves each item, then Spectr pushes it into Linear, Shortcut, or Jira, structured the way your team already works, from flat lists to nested sub-tasks. Every plan also includes Product Health (PostHog and Sentry evidence cited in specs) and live scope-creep tracking against Harvest budgets. Built for product managers, founders doing the PM work, and agencies running client projects. Free plan available, no credit card required.
Founder story
I run Crowdlinker, a studio that builds software for clients. That means product meetings all day, every week, across every active project. For years, every one of them ended the same way: someone turning a 45-minute call into 90 minutes of ticket-writing that night. Notes, then user stories, then acceptance criteria, with half the context lost somewhere between the call and the backlog. We tried the obvious fixes. AI notetakers gave us clean summaries but stopped at notes. Pasting transcripts into ChatGPT got us a rough PRD, but it didn't know our Notion docs, our Figma files, or our codebase, and someone still had to restructure the output into tickets. Either way, the last mile was still a human rewriting a meeting by hand. So we built the tool we wanted for ourselves. Spectr pulls the call, reads it against the project's real context, drafts the spec and the stories, and then stops. Nothing publishes to Linear, Shortcut, or Jira until a PM says yes. That rule came from our own experience: the AI is good at the busywork, and the PM should keep the judgment. We built it in public over 128 days and 52 releases, using it on our own client work the whole way.
Who Is Spectr For?
Product managers, founders doing the PM work, and product teams — including agencies building for clients — who sit through multiple product calls a week and run their backlog in Linear, Shortcut, or Jira.
- Product managers converting meeting notes into structured backlog items
- Founders managing product development without dedicated PM staff
- Agency leads coordinating multiple client projects and deliverables
- Engineering leads reviewing product specs before implementation
- Product teams tracking scope creep against budget constraints
How Founders Can Use Spectr
- Client calls to backlog. Record the call, approve the stories, publish to Linear, Shortcut, or Jira.
- Stories with acceptance criteria. Every requirement lands as a ready-to-build story, not a note.
- Context-aware tickets. Drafts reference your Notion, Drive, Figma, and GitHub, not just the transcript.
- Decisions captured. What was agreed in the room reaches the backlog before anyone forgets.
- Bugs from conversation. Something mentioned as broken becomes a reviewable bug ticket.
- Human approval on everything. The AI drafts; the PM decides what ships.
- Specs backed by evidence. PostHog and Sentry data cited, dated and counted, in every spec.
- Scope creep flagged live. Harvest hours tracked against budget the moment work drifts.
- Planned vs. actual. Forecast allocation shown beside hours actually logged.
- Replace the ChatGPT workaround. Paste a transcript, run one call through free, compare the output.
Spectr vs Alternatives
- Earmark
- ChatGPT
- Claude
- tl;dv
- Otter.ai
- Fireflies.ai
Spectr Features
Spectr turns product meetings into a reviewed, ready-to-ship backlog. It pulls the call transcript from Fathom, Granola, or Read.ai, drafts the spec, requirements, and user stories against your team's real project context (Notion, Google Drive, Figma, GitHub), and a PM approves everything before it publishes to Linear, Shortcut, or Jira.
- Automatically transcribes and processes product meeting recordings from Fathom, Granola, Read.ai, or pasted transcripts
- Generates specs, requirements, and user stories with acceptance criteria based on meeting context
- Cross-references project context from Notion, Google Drive, Figma, and GitHub for accurate drafting
- Human review and approval workflow before any backlog items publish
- Pushes approved items to Linear, Shortcut, or Jira in your team's existing structure
- Tracks scope creep against Harvest budgets and includes Product Health metrics from PostHog and Sentry
Pricing
Spectr offers a free plan with no credit card required. Pricing details for paid plans are available on the official website. Like many AI-powered productivity tools, the service likely includes tiered subscription options to accommodate different team sizes and usage levels.
Verdict
Spectr does one job well: it closes the gap between a product meeting and a backlog that engineers can actually pick up. Most AI meeting tools stop at a summary. Spectr starts there and finishes with specs, requirements, and user stories with acceptance criteria, drafted against your real Notion, Google Drive, Figma, and GitHub context rather than the transcript alone, then published to Linear, Shortcut, or Jira once a PM approves. That approval step is the defining design choice. Nothing reaches the backlog without a human yes, which makes it safe to run on live client projects and keeps product judgment where it belongs. The extras are useful rather than decorative: PostHog and Sentry evidence cited inside specs, and Harvest budget tracking that flags scope creep as it happens. Best fit: product managers, founders doing the PM work, and agencies running several client projects at once, especially teams already using Fathom, Granola, or Read.ai. Less compelling if your meetings rarely produce requirements, or if you don't run a backlog in one of the three supported trackers. It is a young product, launched August 2026 and built in public with a visible changelog, so expect fast iteration and the occasional rough edge. The free plan and no-card trial make the evaluation cheap: run one real call through it and compare the output to what you'd have written by hand. For teams losing hours each week to post-meeting ticket writing, that comparison is likely to be decisive.
Frequently Asked Questions
What is Spectr?
Turn product meetings into a reviewed, ready-to-ship backlog
Who is Spectr for?
Product managers, founders doing the PM work, and product teams — including agencies building for clients — who sit through multiple product calls a week and run their backlog in Linear, Shortcut, or Jira. • Product managers converting meeting notes into structured backlog items • Founders managing product development without dedicated PM staff • Agency leads coordinating multiple client projects and deliverables • Engineering leads reviewing product specs before implementation • Product teams tracking scope creep against budget constraints
How much does Spectr cost?
Free $0 (2 seats) · Starter $49/mo (5 seats, 30-day trial) · Pro $149/mo (20 seats) · Business $449/mo (50 seats). Every plan includes the full pipeline. No credit card to start.
What category does Spectr belong to?
Spectr is listed under Artificial Intelligence, Productivity, Automation on Launch Llama.
How do I get started with Spectr?
Click the "Visit Website" button on this page to go directly to Spectr. You can also upvote and leave a review to help other founders discover it.
What does Spectr do?
Spectr turns product meetings into a reviewed, ready-to-ship backlog. It pulls the call transcript from Fathom, Granola, or Read.ai, drafts the spec, requirements, and user stories against your team's real project context (Notion, Google Drive, Figma, GitHub), and a PM approves everything before it publishes to Linear, Shortcut, or Jira.
Who is Spectr for?
Product managers, founders doing the PM work, and product teams — including agencies building for clients — who sit through multiple product calls a week and run their backlog in Linear, Shortcut, or Jira. • Product managers converting meeting notes into structured backlog items • Founders managing product development without dedicated PM staff • Agency leads coordinating multiple client projects and deliverables • Engineering leads reviewing product specs before implementation • Product teams tracking scope creep against budget constraints
How is Spectr different from an AI notetaker like Fathom, Granola, or Otter?
Notetakers stop at notes. Spectr starts there and ends with reviewed user stories in your backlog, complete with acceptance criteria and drafted against your own docs, designs, and code. It plugs into Fathom, Granola, and Read.ai rather than replacing them.
Does anything get published to my backlog without approval?
No. Nothing reaches the backlog without a human yes. The AI drafts; a PM reviews and approves each item before it publishes. Hard product rule, not a setting.
Which tools does Spectr integrate with?
14 native integrations: Fathom, Granola, Read.ai (plus pasted transcripts); Notion, Figma, GitHub, Google Drive; PostHog, Sentry; Harvest, Forecast; Linear, Shortcut, Jira.
Does Spectr work with Jira, Linear, and Shortcut?
Yes, natively, from flat lists to nested sub-tasks.
How long does it take to set up Spectr?
Minutes. Import ~30 seconds of your time, AI extraction ~2 minutes unattended, review and publish ~10 minutes. No sales call required.
What is Product Health in Spectr?
Reads PostHog and Sentry on every project and cites the evidence, dated and counted, in the next spec. Read-only, identifiers scrubbed, included on every plan.
How much time can Spectr save my team?
By Spectr's own estimates, a 45-minute call is followed by ~90 minutes of ticket-writing; Spectr replaces most of that, estimated at ~4 hours back per person per week. Run one real call through the free plan and compare.
← Browse all products · Launch Llama home · Listed on Launch Llama at /products/spectr