Originally posted as an X (Twitter) Article, Nov 14, 2024 | Refreshed for Live Your Hobby on June 8, 2025
1. Why Re-share This Now?
Since Part 1, the dataset grew 10 × and so did the insights. We’re talking 93,420 tweets,50 K images, 26M words of structured output. That sheer volume lets us spot durable patterns—not just one-off “gotcha” plays—so you can:
- Demystify AI – see how a lightweight GPT pipeline handles big-data social feeds.
- Build Your Tech Stack – copy the schema, plug in your own watch list.
- Boost Productivity – trade doom-scrolling for a dashboard ping.
- Grow with AI – package insights as content that attracts clients and collaborators.
Read the original Article: https://x.com/EasusJ/status/1857004676249530792
2. What We Actually Processed
| Layer | Volume | Real-world analogy |
|---|---|---|
| Tweet text | 3.4M words | 38 novels |
| Hero images | 50,831 (≈ 9.7M “words”) | Adds meme context |
| AI tokens | 1.5B in / 34.7M out | ≈ $12 in GPT calls |
| Structured output | 26M words | 290 blog posts |
Quick win: even a solo founder can crunch an institutional data set for lunch-money cloud costs.
3. The Upgraded Pipeline (v2)
- Clean – strip URLs & generic mentions
- Entity pass – extract tickers / hashtags → live Coingecko lookup
- Vision pass – GPT-4o describes memes & charts
- Topic map – 19 raw topics → 9 roll-ups (Crypto, Gaming, NFTs, Memecoins, etc.)
- Sentiment grid – strength ± by topic
- Market join – price + volume snapshots for top-250 tokens
Result: fewer hallucinations, richer context, queries that feel like three junior analysts on call.
4. Macro Findings (Main 15 → Main 24)
| Signal | What We Saw | Why It Matters |
|---|---|---|
| Tweet volume | +36% growth, peak 5 615 in Main 24 | Game stays sticky → card value holds |
| Engagement phases | Early stability → dip (rule tweaks) → election pump | Buy dip weeks; sell narrative spikes |
| Content mix | Community 30% · Market 29% · Politics 5% baseline | Politics spiked to 15.8% & 33% of engagement in Main 24 |
| Meme dominance | Memecoin talk tops both tournament & off-season | Use volume as beta-rotator signal |
| Hero tiers | Curators pump raw stats; originals score FP | Filter by Eng/Orig-Tweet to find sleepers |
5. Case Study — Main 24: When Politics Met Crypto
- Tweets: 5,615 (tournament high)
- Political share: 15.8% (3× normal)
- Avg engagement / political tweet: 999
- Total engagement: 2.66M (tournament record)
Meta takeaway: Heroes who blend market insight and timely culture (politics, memes) outperform single-note specialists.
6. Playbook for Solopreneurs (LYH Pathways)
| Pathway | 60-Minute Action |
|---|---|
| Demystify AI | Copy our preprocessing prompt → run it on 100 tweets from a favourite analyst. |
| Boost Productivity | Zapier webhook: ping you when any Hero’s topic mix changes > 10%. |
| Build Tech Stack | Fork the JSON schema; store updates in DuckDB for instant SQL queries. |
| Grow with AI | Publish a weekly “Meta-Shift Monitor” email—Hero mix + top tickers. |
7. Closing Thought
We sifted 93K tweets so you don’t have to. The next edge comes when you point the same pipeline at tomorrow’s data. Clone the repo, tweak the topics, and let curiosity—not scroll-fatigue—drive your next crypto move.
