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  • Signal Feed
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  • Categories
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  • Beyond the launch
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  • Content Desk
  • Editorial QA
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  • Trends
Lab
  • Metric Bench
  • Tagline Lab
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7,956 products · 38,547 snapshots
KernelAI

KernelAI

Notable signal

Private, offline AI for iPhone and Android

Launched 1d ago
Signal
52
Velocity
0

What this means

22Founder Conviction Index: 22 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
16%
today
Projected end-of-day votes
70range 53–95
Trajectory
stable
Vote pace holding steady.
Speed vs peers
0.9×
3 AI Agents launches

About

Run 50+ AI models locally on iPhone and Android. Chat, read PDFs and documents with on-device RAG, understand images with vision models, and write code offline. Dictate prompts, customize responses and import GGUF models (experimental). On iPhone, use Siri, Shortcuts and Apple's built-in AI on supported devices. Add optional web search with your own API key. Free, with no account, ads or subscription. Download a model once, then use it offline. Your local chats and documents stay on your device.

AI Summary

KernelAI enables users to run over 50 AI models locally on iPhone and Android devices, facilitating tasks such as chatting, reading documents, and image understanding without internet connectivity. The product emphasizes privacy by keeping all interactions and data on the device, with no accounts or subscriptions required.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement3
Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

ThinLittle evidence and no strong angle. Nothing to build on yet.
75/8
Timeliness5%100
carried 7%
Trend20%31
carried 27%
Novelty15%4
carried 20%
Business15%1
carried 20%
Story20%0
carried 27%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured
Full audit →

Signal sources

3 of 6 active
  • Launch tracking6 readings since we picked it up
  • AI analysisAI Agents
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring13% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Anes Khadiri
@anes_khadiri
rep 22
Anes Khadiri
@anes_khadiri · hunter

Topics

PrivacyArtificial IntelligenceProductivity