Spellar 3.0 - AI Meeting companion with cross-meeting memory
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Most meeting tools give you notes. Spellar AI gives you memory.
It joins your calls, captures every word, and builds context across all your meetings.
Ask what a client said three calls ago.
Find decisions from last week.
See what’s still open.
Organize by client, use templates, and choose the AI you trust — OpenAI, Anthropic, Perplexity, Gemini and more!


Replies
Spellar AI
@lakshminath_dondeti Yes! Transcription runs fully on-device by default - we use a local Whisper model on your Mac, so audio never leaves your machine. Cloud transcription is opt-in for users who want it (e.g. for speed on older hardware). Summaries / AI notes currently use cloud LLMs, but on-device summarization is on the roadmap.
Spellar AI
@lakshminath_dondeti but, just fyi, local engine requires M1+ laptop. Foreigh languages needs larger models - which you can easely donwload/install models in the app's settings
Spellar AI
@lakshminath_dondeti for mobile, I believe developers will utilize the Siri/Android OpenAI SDK for additional features when it gets more accessible for external integrations. We're closely monitoring this and will be prepared when it happens!
@igal_kalnitsky Hi, we do have a free tier, so people can try the product without jumping straight into a paid plan 🙂 After that, there are different paid plans depending on usage.
Spellar AI
@igal_kalnitsky in addition to the free trial, we have ProductHunt deal - 20% which expires in the end of May 😜
This is quite cool. The cross-meeting memory is what finally makes this category interesting. I've tried a few note-takers but the problem was always the same: it is great for the moment, useless two weeks later when you're trying to remember what clients actually said about pricing. The fact that it runs natively without a bot joiner is a big deal too! Does the memory search work across meetings with different participants or only the ones you attended yourself?
Spellar AI
Thanks @artstavenka1 — "useless two weeks later" nails the pain. Memory search runs across every meeting in your account, not just the ones you attended yourself: in a personal account that's all your recordings, in a team workspace it's everything that's been shared with you. So "what did clients actually say about pricing last quarter" works even if the call was a teammate's
What makes it really sharp is pairing it with Templates — you define a custom summary structure per meeting type (e.g. a Sales Call template that always pulls out pricing objections, budget signals, and next steps as their own fields). Two weeks later when you query across meetings, the AI has structured, comparable data to work with instead of free-form summaries — recall is dramatically better
Got a specific recall pattern you're trying to solve for? Happy to suggest a template setup 💜
congrats, team! any plans for more integrations? I'd love to sync with Linear after calls.
Spellar AI
@igorsorokinua Hi Igor, thanks a lot for the congrats!
We’re always open to feedback from our users and actively add new integrations based on their requests.
We actually already have a Linear integration, and I personally use it to save time when creating tasks after calls 😊
Spellar AI
@igorsorokinua yeah, Linear was one of the first released integrations
We're very open for user feedback / requests. Just let us know what's missing for your workflow?
Spellar AI
Hi all, my name is Yuliia, and as the QA engineer on this product, I've spent months doing one thing: trying to break it.
That's the job. Find every edge case. Every flow that almost works. Every moment where the product doesn't quite deliver what it promised.
What made this one different: the core idea held up.
The memory feature - the thing that connects context across meetings over time - is the kind of feature that's easy to get almost right and very hard to get actually right. The gap between "it usually works" and "you can trust it" is where I spend most of my time.
We're at the second one. I wouldn't have let it ship otherwise.
Spellar 3.0 is live on Product Hunt today. An AI meeting companion that remembers everything - no bot, no noise, just context when you need it.
Want to hear your feedback ❤️
Spellar AI
@j_che Yuliia, very proud we’re launching this together 🚀
Spellar AI
@hotfixer Thank you, Anastasiia. So excited about this 🤩
Thesys
Congrats on the launch. A killer feature would be to make it open source
Spellar AI
@zahle_khan honestly, we were considering it, but it would be challenging since we have many infrastructure components for that.
Is your concern privacy? If so, Spellar has several privacy-aware configurations, such as audio retention and local transcription, among others!
Thesys
@zinovii_z yes privacy plus you could have a lot of community plugins too.
We took the same route as well.
Companies would still pay for you manage it. It's a win win
Spellar AI
@zahle_khan thanks for your feedback and suggestion. I promise we will rethink this! 👌
Is there a way to create templates for recurring meetings — like 1:1s or standups — so the summaries are always structured the same way?
Spellar AI
@rus1ankova1enko Yes, exactly that! Spellar has built-in templates for the most common recurring formats — including 1:1, Stand-up,
Sprint Planning, Retro, Weekly Sync, Project Sync, plus ~15 others (customer discovery, board, investor update…).
You can also create your own: define the structure, add custom context (project background, what to listen for), pick
the AI model, and attach it to specific recurring calendar events — so every Monday standup or weekly 1:1 gets
summarized with the same shape automatically.
Spellar AI
@rus1ankova1enko as Andrii mentioned, templates are your key feature here!
You can set up the type of meeting, add additional context, and establish structure (folders, tags, AI provider)
This is essentially your way to customize your meetings to suit your cases!
Spellar AI
@rus1ankova1enko
Yes 🙌
So recurring meetings can automatically follow the same summary structure every time, which makes everything much easier to scan later 🧠
I've been using Fireflies for about a year - what would be the main reason to switch to Spellar? Genuinely curious!
Spellar AI
@richa_das24 Totally fair question 🙌
Honestly, the biggest difference is that Spellar goes way beyond just transcription — it’s all about memory and making connections across your meetings.
You get an AI assistant that actually remembers the context from every previous conversation. So, even right in the middle of a meeting, you can ask things like:
• “What did we decide last time?”
• “Did the client already mention this?”
• “What were the action items from our earlier calls?”
The idea is for it to feel less like just a notes tool, and more like having a second brain for your meetings 🧠
Spellar AI
@richa_das24 Hey Richa, that's a really good question. I understand that switching to another productivity tool can be challenging if you're accustomed to one.
However, Spellar is definitely worth trying. Its templates and Obsidian integration demonstrate the full customization available to elevate your productivity to 100% - give it a try, and you won't be disappointed 🤙
Spellar AI
@avikshit_lp Yes — no transcript-hunting needed. Spellar pulls action items out automatically as a dedicated section, with owner
and context attached when the conversation makes it clear ("Anna will send the deck by Friday" → task with owner +
due).
You can review them on a separate "Action Items" tab, then push each one straight to Linear, Jira, Notion, Todoist,
Asana, ClickUp, or Trello with a single click. The transcript is still there if you want to jump to the exact moment
something was decided, but you almost never need to.
Spellar AI
@avikshit_lp everything is automated. Just turn on Spellar on your calls/meetings - and the app will take the rest 🤙
Really interesting shift from meeting transcription to persistent memory. The cross-meeting context and ability to surface decisions from earlier conversations feels more practical than just searchable notes. Curious how Spellar handles conflicting information or changing decisions across long client relationships.
Spellar AI
Thanks @vaibhavi_suvarna — that "conflicting information across long client relationships" question is exactly the messy case most cross-meeting tools wave at.
Honest answer on how it works today:
Cross-meeting search surfaces all the relevant decisions, not just the latest. If you ask "what did we agree about pricing for Acme?", Spellar pulls every mention from the folder and lets you see the evolution — March said $50k, May said $60k, here's both with links to the source meetings. We deliberately don't collapse to "latest wins" because the change is usually the interesting signal.
The pattern that makes this really sharp is Folders + custom-context Templates per client:
- A folder per client (e.g. Acme Corp) scopes the memory.
- A custom Template with client-specific context — e.g. "Track decisions on pricing, scope, deadlines, and owners. If a current decision contradicts prior one in this folder, call it out explicitly and cite the earlier meeting." — instructs the AI to flag contradictions on each new summary, not just at query time.
What we haven't shipped yet: proactive cross-meeting conflict alerts (e.g. notify me the moment a new meeting introduces a contradiction with an earlier one). The data layer makes it possible — we just don't auto-trigger it today. High on the list.
Quick one back: would alert-on-conflict be more valuable inside the meeting (a heads-up while you're still talking) or as a digest after the call?