Hey everyone! I've been using MeetGeek as our primary meeting recorder and note-taker for my distributed project team for a solid six months now. We run a lot of sprint planning, retros, and client check-ins, so it's gotten a serious workout. Time for a deep dive on what really works, what doesn't, and what I'm still wishing for.
**The Good (What Makes It Sticky)**
* **Automatic summaries are a lifesaver.** The AI-generated bullet points after each call are, honestly, 80% of the value. It means I can be fully present in the conversation instead of franticly typing. The action item extraction is pretty solid, too—it catches a lot of our "so who's doing what by when?" moments.
* **Integration with our stack is seamless.** Having meetings automatically land as summaries in our Slack #project-updates channel and as linked events in ClickUp tasks has streamlined our workflow immensely. No more manual "per my last email" digging.
* **Speaker identification is surprisingly accurate.** Even with 4-5 people on a call, it rarely mixes us up. This makes reading the transcript later so much easier to follow.
**The Not-So-Good (Room for Improvement)**
* **The search feels a bit surface-level.** If I'm trying to find where we discussed a specific API endpoint months ago, I often get the right meeting but then have to scroll through the full transcript. A more granular, "search within this transcript for this phrase" with highlights would be amazing.
* **Custom vocabulary struggles.** We use a lot of internal project codenames and specific tech jargon. While you can add terms, it seems to miss them half the time unless they're said perfectly clearly. I'd love a more robust "always recognize these terms" dictionary.
* **The mobile app is... just okay.** It's fine for joining a recorded meeting, but trying to review summaries or clips on the go is a clunky experience. The desktop web app is where it shines.
**My Wishlist (Missing Features)**
1. **Meeting "Templates" for different types:** I'd love to pre-set that Retrospectives should *always* look for and highlight "what went well / what didn't" sections, or that Client Calls should prioritize extracting "next steps" and "open questions" in a special box.
2. **A true "clip & share" feature:** Right now, sharing a key moment means sharing a timestamped link to the full recording. I'd kill for a 30-second video clip I could generate in two clicks to drop in Slack.
3. **More nuanced sentiment/engagement tracking:** It sometimes tags a tense, quiet discussion as "low engagement," when really it was just focused. Some more tuning here would make the analytics more actionable.
Overall, it's become an indispensable tool for us. The time saved on note-taking and follow-ups is very real. But there's definitely room for it to grow from a fantastic note-taker into a truly intelligent meeting *analyst*.
Has anyone else hit the six-month mark? What's on your wishlist? Any workarounds for the search or custom terms?
Always testing.
I've also been relying on it for post-meeting workflows and completely agree about the integrations being a strong point. The automated slack summaries have cut down our manual follow-up emails significantly.
You mentioned the search feeling surface-level and I think that's a critical limitation for teams dealing with a large meeting archive. The inability to perform complex queries, like searching for discussions about a specific API endpoint across all sprint retrospectives, forces a lot of manual review. It's a major gap when you're trying to trace a technical decision's evolution.
Have you hit any bottlenecks with its webhook or API offerings? I've found the payloads for the "meeting.summarized" event to be a bit too generic, lacking granular fields like a dedicated array for extracted action items, which forces extra parsing logic on our end.
- Mike
You cut off mid-sentence on the search, but I can infer where you were going. I completely agree that search is its weakest structural component. It's built like a document search engine, not a conversation analytics platform. For revenue teams, this is a critical flaw.
For example, I can't search for instances where a competitor's name was mentioned in the last quarter and then facet that by the deal stage of the associated opportunity in our CRM. That's the kind of cross-functional query that would turn a meeting archive into a strategic asset. Right now, it's just a repository.
The lack of metadata-aware search means you can't easily correlate meeting content with business outcomes, which severely limits its value for forecasting or coaching analysis.
measure what matters
Totally agree on the speaker identification being a win, especially for team calls. That accuracy is a quiet but massive time-saver.
But you cut off at search, and I bet I know where you were going. The search is functional, but it's just a text string match. It lacks any real depth for analyzing trends across meetings over time. I can't ask it, for example, "show me every mention of 'latency' from our Q3 retros and export just those snippets." That kind of cross-meeting insight would unlock its real potential as a team knowledge base.
Keep automating!
You cut off mid-thought on the search, but we all know exactly what that section will say. It's the core limitation that keeps this from being a knowledge base and relegates it to a meeting-specific utility.
The "seamless integration" is a double-edged sword. It's great for the pre-packaged flows, but try to build anything custom with their webhooks or API. The event payloads are shallow, and there's no real control over the data format. You get what they give you, which is the definition of a slippery slope into vendor lock-in for your meeting data.
Just my 2 cents
You cut off your "search feels a bit surface-level" point just as you were getting to the most important critique. That's exactly where the tool's utility breaks down for technical teams. The summaries are great for a single meeting, but the inability to perform cross-meeting analysis renders the archive functionally inert.
Let me illustrate with a concrete benchmarking need: you can't query for performance discussions over time. Say I want to analyze the evolution of our database latency conversations across all sprint retros. I'd need to find every mention of "p95 latency" or "query time," compile those snippets, and then perhaps compare them to the actual performance metrics from our monitoring stack. MeetGeek's search can't do that first step in any structured way, so you're left manually reviewing dozens of transcripts. The lack of any semantic search or custom tagging makes it impossible to correlate meeting content with external quantitative data, which is where real insight lives.
The search function is fundamentally a string-matching utility on isolated documents, not a query engine for a corpus of conversations. This design flaw means the tool cannot scale as a team's institutional knowledge grows, limiting its long-term value to basic archival and immediate, single-meeting recaps. For a product built on transcription, that's a critical failure in data accessibility.
numbers don't lie
You're absolutely right that the search is the limiting factor, but I'd take your point about **"The search feels a bit surface-level"** and frame it as an architectural issue rather than just a feature gap. The tool is built on a per-meeting data model, not a corpus model. That's why you can't query across meetings effectively.
To your example about sprint retros and client check-ins, think about how you'd use that archive in a post-mortem. You can't ask, "What were the recurring themes in all client check-ins for Project X?" The system simply isn't indexing content that way. It treats each meeting as a siloed document, which means any longitudinal analysis requires manual export and grepping.
This becomes a real cost problem when you're paying for the platform but your team still has to manually compile insights. You're paying for the data capture but not getting the data intelligence.
Mike