This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
TuneLLM will bring down your cost by ~10-20x. -> ₹4.4k/day only Just use it like any other API provider, pick a reference model (Fable-5/GPT-5.5 etc) and let our system handle the rest autamatically.
TuneLLM deploys inside your infrastructure and automatically distills your expensive LLM workflows into small fine-tuned models, benchmarked against the frontier model you use today, at a fraction of the cost.
Swapped in TuneLLM for a small batch of chatbot requests yesterday and the cost drop is genuinely noticeable, almost half what I usually pay. Picking a reference model and letting it handle the rest feels a little too hands-off, but the responses came back clean.
Curious how the cost reduction actually works under the hood - is it routing between models smartly, distilling responses, or something else entirely? And does latency take a noticeable hit compared to going direct to GPT-5.5?
Swapped in TuneLLM for a side project yesterday and was honestly surprised how painless the switch was, just swapped the base URL and it worked. The cost drop is the real win though, ran a full day of testing for less than a coffee.
Tried TuneLLM on a small coding task yesterday and the response felt surprisingly snappy for the price. Picking a reference model and just letting it route was the easiest setup I have seen in this space.
Love that you just drop in a reference model and let the system figure out the optimization behind the scenes. Cuts out so much tuning friction.
How does the routing actually work under the hood to hit that 10-20x cost reduction, like are you caching responses, picking cheaper models, or something else entirely? Would love to understand before I trust it for production.
How does the routing actually decide when to use the smaller model versus the reference one, and is there any visibility into the calls being made under the hood?
Plugged in my usual prompt stack and the cost line genuinely looked off at first, had to double-check the dashboard. Responses feel snappy too, which I wasn't expecting for that price tier.
About TuneLLM on Product Hunt
“Auto Finetuning without any technical hassle.”
TuneLLM was submitted on Product Hunt and earned 9 upvotes and 9 comments, placing #26 on the daily leaderboard. TuneLLM will bring down your cost by ~10-20x. -> ₹4.4k/day only Just use it like any other API provider, pick a reference model (Fable-5/GPT-5.5 etc) and let our system handle the rest autamatically.
TuneLLM was featured in Tech (627.5k followers) on Product Hunt. Together, these topics include over 165.4k products, making this a competitive space to launch in.
Who hunted TuneLLM?
TuneLLM was hunted by Zishan Sami. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Zishan Sami