Nicheloom

The opportunity tracker for new startups.

longhand

On-device transcripts and summaries of your recorded phone calls. Made for GrapheneOS; nothing leaves the phone.

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This is 1 of 175 launches in AI meeting notetakers and recorders — see how it stacks up on momentum and crowding →

66 other launches read as similar to this one →

Details

External ID
1401208699
Source
GITHUB
Company
—
Product
longhand
Website domain
github.com
Launched
Oct. 2, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.06116605934409162
Tags
android, call-recording, grapheneos, jetpack-compose, kotlin, on-device-ai, privacy, speaker-diarization, speech-to-text, transcription
Fetched at
Oct. 5, 2026, 5:02 p.m.
Updated at
Oct. 5, 2026, 5:02 p.m.

Enrichment

Niche
AI meeting notetakers and recorders
Vertical
Horizontal
Function
Workflow automation
Audience
Prosumer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
on-device call transcription and summarization for grapheneos users
Manually corrected
False

Could you build this?

Partial The Android application wrapper and file management are straightforward, but running accurate, fully offline ASR and LLM summarization optimized for GrapheneOS device hardware requires specialized on-device ML runtime integration.

What it would actually take: Requires an Android application (Kotlin) integrated via JNI/C++ with on-device inference engines like whisper.cpp and llama.cpp (or MediaPipe/ExecuTorch). The hard part is tuning quantization, memory footprint, and NPU/GPU hardware acceleration on Google Pixel devices to process long phone call audio recordings without running out of RAM or thermal throttling under GrapheneOS.

Competitors

Other products that read as similar to this one — 66 launches clear the similarity bar, closest 8 shown.

Attention rank: #65 of 67 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 330 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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