3,239 GitHub stars in 8 days since onehumanbeing/esp32-iphone-agent was created (420.2/day). 1 source across 1 channel. Automatically detected; not yet reviewed.
31Fact cited ·Analysis our interpretation ·Estimate forward-looking · [n] links to the source
| 0/15 |
| Developer relevance | 3.8/15 |
|---|
| Adoption velocity | 4.4/10 |
|---|
| Community momentum | 0/10 |
|---|
| Source credibility | 10/10 |
|---|
| Cross-source confirmation | 0/10 |
|---|
| Evidence strength | 5/10 |
|---|
| Time to impact | 0/5 |
|---|
| Hype penalty | 0 |
|---|
| Breakout Score | 31 |
|---|
Low confidence (0.48) — 60% of measured factors have data. 0 independent non-community publishers. At least one primary source. Evidence strength 5/10. Capped at Low: no independent, non-community source yet.
An analytical ranking derived from observable signals using model breakout-v1.2. It is not a prediction and not a measure of quality. How it works
Not yet assessed.
Not yet assessed.
Insufficient evidence
Analysis Not assessed.
Not yet assessed.
Not yet assessed.
The technical change has not been documented yet.
No architecture has been documented for this signal.
Developer implications have not been assessed yet.
Difficulty has not been estimated yet.
No adoption indicators recorded.
First seen by the Astrava pipeline[1]
No competing approaches documented yet.
No independent projects or organisations are documented as building on this yet.
Published by the people who built it: release notes, repositories, papers, official docs.
Let an AI model use a real iPhone with a $7 ESP32: AirPlay eyes, USB HID hands, any OpenAI-compatible vision model. No Mac, no developer account, no jailbreak.
Independent reporting, third-party benchmarks, integrations by other projects.
None recorded.
Discussion threads and social posts. Evidence of attention, not of correctness.
None recorded.
| Factor | Share of maximum | Points |
|---|---|---|
| NoveltyRubric level 2/4 (Moderate). Heuristic (automated): first published 8 days ago. | 7.5/15 | |
| Technical significanceNot yet assessed. Requires analyst review; not assessed automatically. | 0/15 | |
| Developer relevanceRubric level 1/4 (Low). Heuristic (automated): no installable package detected; topic is not primarily developer-facing. | 3.8/15 | |
| Adoption velocityIndependent integrations: unknown (0 pts). GitHub stars: 420.2 per day since creation; full marks at 1000/day, log-scaled (4.4/5). | 4.4/10 | |
| Community momentumFewer than three periods of activity data, or no baseline activity to compare against. | 0/10 | |
| Source credibilityPrimary source present; mean source-tier weight 1.00 (primary 1.0, secondary 0.7, community 0.35). | 10/10 | |
| Cross-source confirmationNo independent publisher has confirmed this yet. | 0/10 | |
| Evidence strengthMet 2/4: primary source ✓, runnable artifact (code, weights or package) ✓, reproducible or independent benchmark ?, technical documentation or paper ✗. 1 unknown (scored 0). | 5/10 | |
| Time to impactNo time-to-impact estimate yet. | 0/5 | |
| Hype penaltyNo hype indicators detected. | 0 | |
| Breakout Score | 31 |
Low confidence (0.48) — 60% of measured factors have data. 0 independent non-community publishers. At least one primary source. Evidence strength 5/10. Capped at Low: no independent, non-community source yet.
An analytical ranking derived from observable signals using model breakout-v1.2. It is not a prediction and not a measure of quality. How it works