Asynkit

Stop listening. Start understanding.

31 followers

Stop listening. Start understanding.

31 followers

Asynkit is an AI-powered audio quality analysis platform. Upload any recording, score it against your custom rubric,and get a structured report with compliance pass/fail gates, weighted section scores, and quote-level evidence. Builtfor teams in FinTech, EdTech, sales, and customer success. Use the Playground UI or REST API to embed analysis into your existing workflows.

Free Options

Launch tags:Analytics•SaaS•Audio

Launch Team

LM-Kit OneThe Private AI Application Server

Promoted

Maker

📌

Launching Asynkit started with a simple frustration: every audio analysis platform we tried was either expensive, locked behind rigid workflows, or generated generic insights that rarely matched what teams actually needed. Whether it was sales calls, customer support, interviews, or compliance reviews, everyone was forced to adapt their workflow to the software instead of the software adapting to them. We built Asynkit to change that. Our goal was to make high-quality AI audio analysis accessible without the enterprise price tag, while giving teams complete control over what gets extracted. Instead of predefined dashboards and fixed outputs, you can define exactly what insights matter to your business—from custom JSON schemas and industry-specific metrics to tailored summaries, action items, sentiment, compliance checks, and much more. Building Asynkit took several iterations. We spent a lot of time optimizing transcription quality, reducing processing costs, and designing a pipeline that could remain both accurate and affordable at scale. Every optimization meant we could pass those savings directly to users instead of sacrificing quality. We're incredibly excited to finally share Asynkit with the Product Hunt community. We'd genuinely love your feedback—whether it's about the product, features you'd like to see, or workflows you'd want us to support next. Thanks for checking us out! 🚀

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2mo ago

Uploaded a shaky sales call recording and the quote-level evidence highlighting actually matched what I heard on playback. Wish the weighted rubrics were easier to tweak without touching JSON.

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2mo ago

Maker

@egemensafe95621 Appreciate this - especially that the evidence matched playback on a shaky sales call. That’s a big validation for us. The rubric feedback lands too. JSON editing is a real friction point and we’re looking at a cleaner way to adjust weights. If there’s a specific tweak pattern you keep hitting, I’d love to hear it.

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2mo ago

Dial

for the compliance pass/fail gates specifically - in FinTech that's the part someone might actually act on. when a call gets flagged as a compliance fail, is there a way to see why the model weighted a section the way it did, or does it just spit out the gate result plus the evidence quote and leave the reasoning implicit?

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2mo ago

Pazi

Asynkit looks fantastic — wishing you lots of momentum from today’s launch! 🙌🚀

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2mo ago

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