Maxx out your team's productivity. AI ProductOps: meetings, specs, stories, requirements, scope, budget and product health in one place. #TeamMaxxing
Toronto, Canada
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Introducing Spectr — your meetings, straight to the backlog.
AI reads the call against your real project context and drafts the spec, requirements and user stories. You review. You approve. It ships to your tracker.
PM busywork, deleted. Judgment, kept.
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Four small upgrades to meeting import in Spectr:
→ Show already imported only: reuse past meetings without waiting on your note-taker
→ "Already used" flags meetings a requirement was already built from
→ Meeting dates in version history
→ Steadier Fathom imports
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Start importing your meetings now in spectr.pm 😄
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Spectr retweeted
A product manager’s job is more than writing stories for a backlog. It’s prioritizing what actually matters this quarter, keeping stakeholders aligned when they don’t agree with each other, defending a roadmap under pressure, watching a budget that’s tighter than the plan assumed, and saying no to good ideas that are wrong for right now. Writing the story is the last step, not the job.
None of that happens alone. Alongside the PM, the team carries just as much of the outcome: a designer catching a usability problem before it ships, a developer flagging that an estimate quietly doubled. A roadmap can be prioritized perfectly and still slip because the team wasn’t working off the same information the PM was.
That runs both ways. Developers and designers have to keep the PM updated too: a blocked ticket, a design that solves the wrong problem, a scope that’s grown since the kickoff. A PM who hears about any of that at the retro, instead of mid-sprint, has already lost the chance to do anything about it.
With that in mind: at Crowdlinker, we built Spectr. Its aim is simple: give the team back the hours that go into writing things down, chasing status, and re-explaining decisions, so there’s more of the day left for the work that actually needs a person.
1. Meetings turn into notes without a rewatch. Spectr connects to the recorder a team already uses; Fathom, Granola, Fireflies, or Read, and writes up what was said and what needs to happen next, before anyone has to relisten at 1.5x speed.
2. Specs come from the conversation, not a blank page. Spectr drafts the spec straight from the meeting, or from a written requirement, with the project’s own history folded in, so nobody re-explains a decision the team made two months ago.
3. Stories land in the tracker ready to work. Once a spec is approved, the stories it produces go straight into Jira, Linear, or Shortcut, detailed enough for a developer to start without a clarifying Slack thread.
4. Requirements docs stay current. Instead of a doc nobody opens again after the kickoff, Spectr updates it as decisions change, so it’s still accurate in month three.
5. The project remembers what the team decided. Every meeting and requirement feeds a running memory, so a new hire or a returning stakeholder gets caught up without the PM repeating six months of context out loud.
6. Budget stops being a surprise at the retro. Spectr checks hours logged in Harvest against what a project scoped for, so the team sees a feature running over while there’s still time to do something about it.
7. Bugs and feedback sit next to the roadmap. Spectr pulls in what’s breaking in Sentry and what users are saying in PostHog, so it’s part of the same picture instead of a dashboard nobody opens until something’s on fire.
8. Everyone watches the same board update live. A status change shows up for the PM, the designer, and the developer at the same moment, so “where are we on this?” stops being a Slack message someone has to answer.
PMs, developers, and designers are adapting to a day with a lot less busywork in it, and a lot more room for the decisions only a person can make. Spectr doesn’t decide what to build or ship; that’s still the team’s call. What it removes is the searching, chasing, and re-explaining that used to eat most of a working day.
Feel free to learn more about Spectr here: spectr.pm/
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Spectr retweeted
I built a free invoice generator
try it out
Give me your feedback pls:
resolutai.com/tools/invoice-…
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Some people sitting in the corner and looking to find an MCP for this 😂
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
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Spectr retweeted
That’s false! People have already been impacted a lot because of the AI boom.
We can for sure expect a change in roles & responsibilities, but the decline is real.
Quick examples:
1. Tesla Cybercab has no human. Taxi drivers will likely decline or charge premium to provide human interaction.
2. Junior Software Developer is no longer a role companies hire for.
3. Lots of call centres were shut down after AI bots became smarter and could solve most of users issues.
4. Content writing, Translations or Interpretation are being overtaken by AI completely. Human written blogs are scarce nowadays.
5. Medical scribing has improved a lot. AI note takers have taken place of most assistants at work.
6. Advertising industry is heavily impacted as Video Gen AI models are now able to quickly come up with 30 seconds high quality ads in under $100 monthly plans!
@JensenHuang and his company is unaffected so these words are nonsense for him.
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Launched Spectr on @launch_llama 🦙
Give it an upvote 👇 tools.launchllama.co/product…
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3 months later - Fable 6 and Astra 6.5 😂
I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks.
Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon.
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Spectr now integrates with another much-loved AI meeting assistant - @firefliesai
Import meetings into Spectr and convert them into meaningful review-ready user stories.
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@firefliesai Welcome to the family! 🤝
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Fireflies records the meeting and writes the recap. Spectr takes it from there 😉.
FirefliesAI is now a native meeting source in Spectr - recap, chapters, action items and transcripts in, drafted spec and stories out.
Nothing publishes until you approve it. 😁
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Three things worth knowing:
- No paid Fireflies plan needed. The API is on their free tier.
- Several meetings can share one spec sheet.
- Only what you approve reaches Jira, Linear or Shortcut.
Try on spectr.pm 🔥
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Requirements in Spectr are versioned. Open any saved version beside the current document and see exactly what moved: a launch date, a scope line, a whole new section.
Save a version when scope shifts. Label it, restore it, compare it.
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