Infina – create Linear tickets by voice command

Hacker News

Hey HN, I’m Shubham, building Infina AI ( https://infina.so ) I noticed I was creating ~30 Linear issues a day. Often I’d be in the middle of designing something or thinking through GTM, remember a bug or task, switch to Linear, write it up, assign it, set priority, then switch back. Same pattern with Slack—context switching dozens of times a day. It wasn’t the time per action that bothered me as much as losing focus repeatedly. I kept thinking: when I already know what needs to be done, why do I have to stop what I’m doing just to type it somewhere? That led me to experiment with voice-first workflows. What we built Infina is a desktop app that lets you execute common work actions using voice, without switching tabs. • Voice execution – Hold a key and say something like: “Create a Linear ticket: fix navbar bug, assign to Sarah, high priority.” or “Send a Slack message to the engineering channel: deployment is done.” The action happens in the background while you stay in your current app. • Voice dictation – This is for writing text anywhere (Slack, email, docs). You can speak naturally and it cleans up filler words and structure, instead of raw transcription. • Voice search – Ask a quick question (product, debugging, general knowledge) and get a short answer in a small popup, without opening a browser or new tab. • Meeting notes – Infina runs in the background and capture meetings (Zoom, Meet, Teams, etc.) without a bot joining. You get transcripts, summaries, and searchable history. This is where the product originally started. Over time, I found myself opening Linear and Slack much less. Tasks get captured immediately when I think of them, instead of relying on memory or context switching later. There’s a short demo here showing ticket creation by voice: https://x.com/shubhmx/status/2003846700532978016 Infina works on macOS and Windows: https://www.infina.so I’d genuinely love feedback from people here: Does voice execution fit anywhere in your workflow? What tools would actually be worth integrating? Where would this feel unnecessary or annoying? Happy to answer any technical or product questions.

Visit product View on Hacker NewsDec 24, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, slack · Missing: agents, agent, cursor

99%99% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

93%93% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

I Wrote an Introduction to Linear Regression in Haskell59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I Wrote an Introduction to Linear Regression in Haskell

Hacker News2

Outcrop – Linear for Wikis28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Outcrop – Linear for Wikis

Hacker News1

Replify – Create a REPL for any command66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Replify – Create a REPL for any command

Hacker News112

Producta

AI that solves your tickets

BetaList

FlowTux28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI helpdesk & ticketing system that closes its own tickets.

Indie Hackerscommitment-full-time

Producta67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate solving your Linear or Jira tickets

Product Hunt+449SaaS

Armacmp – compile R linear algebra code to C++49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Armacmp – compile R linear algebra code to C++

Hacker News2

Ali – Create Command Aliases Instantly50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ali – Create Command Aliases Instantly

Hacker News3

Emdash – OS UI for parallel coding agents and Linear tickets39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Emdash – OS UI for parallel coding agents and Linear tickets

Hacker News2

provision redis with one command54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

provision redis with one command

Hacker News3

Browse all products Analyze your launch