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Reelnest

Search inside your saved reels, down to the second.

Details

External ID
1250779
Source
PH
Company
—
Product
Reelnest
Website domain
producthunt.com
Launched
Sept. 16, 2026
Cohort
—
Upvotes
2
Upvotes percentile
0.7405388069275176
Tags
Android, Instagram, Social Media
Fetched at
Sept. 18, 2026, 4:41 a.m.
Updated at
Sept. 18, 2026, 4:41 a.m.

Description

Your saved folder is a black hole. Reelnest transcribes every reel, reads the on-screen text, and pulls out what matters — a recipe's ingredients, a trip's places, a haul's products. All of it becomes searchable: by meaning, by keyword, and down to the exact second. And now it plugs into Claude and ChatGPT. Ask "what did that pasta reel say about the garlic?" and your assistant answers mid-chat, with the line and the timestamp. Instagram, TikTok, YouTube Shorts. Web, Android, Chrome.

Enrichment

Theme
media discovery and streaming tools
Vertical
Media & entertainment
Function
Search & retrieval
Audience
B2C
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
video search engine for saved reels
Manually corrected
False

Could you build this?

Partial Building a basic web UI and LLM processor is straightforward, but downloading Instagram reels reliably, running multi-modal OCR/ASR video processing pipelines, and providing fast timestamped hybrid search at scale requires non-trivial media infra.

What it would actually take: The stack needs distributed background worker queues (Celery/Temporal) running headless downloaders (handling Instagram bot detection and rate limits), FFmpeg for keyframe extraction, Whisper for speech-to-text, and OCR models for on-screen text. It indexes data into a hybrid vector/full-text database (like Qdrant or Pgvector) with custom schemas for entities and timestamps. The challenging part is scaling video ingestion pipelines and maintaining reliable video extraction against third-party platform anti-scraping safeguards.

Competitors

Other products that read as similar to this one — 77 launches clear the similarity bar, closest 8 shown.

Attention rank: #13 of 78 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 198 days after the earliest competitor.

Other launches for this product