Products
AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Oct 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
Tanav Chinthapatla
@tcbuilds1· 0 followers
Launched
6mo ago
2026-05-05 · Est.

Traffic

Last 12 months
Monthly visitsData through Oct 2026
Events3 marketing moves

Marketing moves

Launches, search & content, referrals, promotions
X accounts@tcbuilds1

  • Launched on Show HN (2 pts)Launch

    Makes local LLMs faster and more reliable by optimizing for your device — Time to first token is 39% faster Agent wall times decrease by 46% No swaps Tracks your resource usage in real-time and adjusts how the mo…

    Jul 22 · 4mo agoLaunch page

  • Launched on Show HN (6 pts)Launch

    Makes local LLMs faster and more reliable by optimizing for your device — Time to first token is 39% faster Agent wall times decrease by 46% No swaps Tracks your resource usage in real-time and adjusts how the mo…

    Jun 30 · 5mo agoLaunch page

  • Launched on Product HuntLaunch

    Run local LLMs faster and smoother on your device

    May 5 · 6mo agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2026-06-30Source
Post excerpt:
Time to first token is 39% faster Agent wall times decrease by 46% No swaps Tracks your resource usage in real-time and adjusts how the model runs so that it works perfectly on your device. Implements KV cache sizing, prefix caching, live RAM pressure management, context trimming, KV quantization, and more. Built a ton of features
Show HN
2026-07-22Source
Post excerpt:
Time to first token is 39% faster Agent wall times decrease by 46% No swaps Tracks your resource usage in real-time and adjusts how the model runs so that it works perfectly on your device. Implements KV cache sizing, prefix caching, live RAM pressure management, context trimming, KV quantization, and more. Built a ton of features 10k downloads and climbing

Open Source & Agent Ecosystem

GitHub · MCP / Skill
tanavc1/local-llm-autotune
Last commit 2026-06-30
GitHub Stars
★ 7
Forks
—
License
MIT
Primary language
Python
Browse peer open-source projects →

Agent, MCP & Developer Integration

CLI / SDKAPI
Integration docs
Ecosystem & integrations:
OllamaLM StudioHuggingFace
Exposed tool capabilities:
Local InferenceInference OptimizationMemory check, then chatFree RAM immediatelySystem prompt prefix cachingModel keep-alive
Browse developer & CLI tools →

Traffic sources

Oct 2026

Traffic breakdown

Channels

No data yet

Countries

No data yet

Search

Domain authority —Domain registered 2026-05-05

KeywordMonthly volume
auto tune local llm60

Traffic data: Vaneform

Pricing

Pricing page not identified yet, or no public pricing listed.

Pages & changes

Tracked since 2026-05-05

Key pages

Weekly snapshots
www.autotunellm.com/ Snapshot 2026-11-07

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does Autotune get?
Vaneform estimates <5K website visits in 2026-10. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is Autotune and what platforms does it support?
Autotune is catalogued under Model Training & Inference Infrastructure: Your local AI, actually fast.. Supported platforms: CLI / SDK, API.
Is Autotune open source?
Autotune has a public repository (https://github.com/tanavc1/local-llm-autotune) under the MIT license, recording 7 GitHub stars.Source

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