SkalskiP ✓
@skalskip92
Open-source Lead @roboflow. VLMs. GPU poor. Dog person. Coffee addict. Dyslexic. | GH: https://t.co/dEmzMDGXVf | HF: https://t.co/4Lx1Yw3CLF
49 402Followers
1 394Following
12 688Posts total
1.8MViews on collected posts
Últimas publicaciones
Buscando publicaciones nuevas…
@skalskip92 Might be the moment where we crossed the threshold.
- Astra (batch): ~$0.03–0.06 / image
- Human (India/PH, $0.02–0.08 per box × 12–18 objects): $0.25–$1.00 / image
1,000 frames:
- Astra: $30–60
- Human: $250–800
Astra also does the team ID + home/away context in
3.4K views · 35 likes
· 0 reposts · 2 replies
Open on X →
@skalskip92 for anything with a million internet photos behind it, agreed.
the labeling that actually gets paid for is the long tail: 40 examples of one defect on one production line, classes the customer invented last month, zero web presence.
knowing celtics jerseys says noth
5.6K views · 37 likes
· 1 reposts · 2 replies
Open on X →
data labeling is dead
GPT-6 Astra easily tells Celtics players from Knicks players
whether they play at home or on the road https://t.co/RCth36rbiU
642.1K views · 3K likes
· 186 reposts · 74 replies
Open on X →
0:21
@skalskip92 nice, btw for video understanding gemini flash is still the best bet, right?
2K views · 11 likes
· 0 reposts · 1 replies
Open on X →
GPT-6 Astra is fast and expensive https://t.co/EjHb51ooBs
5K views · 43 likes
· 2 reposts · 2 replies
Open on X →
empty / full gas cylinder detection, GPT-6 Astra (high)
how to tell which one is open and which one is closed?
the only clue is the pin on the valve https://t.co/jtzS96BLYk
5.8K views · 36 likes
· 1 reposts · 1 replies
Open on X →
cargo container damage detection https://t.co/MpabGLb5na
4.5K views · 29 likes
· 1 reposts · 1 replies
Open on X →
tire size text detection
GPT-6 Astra sees text everywhere https://t.co/OiuNFWqt5W
4.3K views · 34 likes
· 1 reposts · 1 replies
Open on X →
ceramic insulator damage detection https://t.co/NGi5mBFR7Z
4.8K views · 32 likes
· 1 reposts · 1 replies
Open on X →
poker chips detection https://t.co/Dt0VSNGH6T
5.2K views · 34 likes
· 1 reposts · 1 replies
Open on X →
jelly bean detection
notice I did not use color. I used taste. https://t.co/tuhP1zHrG8
6.3K views · 40 likes
· 2 reposts · 1 replies
Open on X →
areal and satellite images https://t.co/uLu9sWCa2q
5.7K views · 35 likes
· 2 reposts · 3 replies
Open on X →
cargo container serial number https://t.co/1SD4TASZGA
7K views · 38 likes
· 3 reposts · 1 replies
Open on X →
document layout detection https://t.co/fd6cyZVBzM
7.9K views · 44 likes
· 2 reposts · 1 replies
Open on X →
technical drawings https://t.co/Txky7ioF7v
10.2K views · 54 likes
· 3 reposts · 2 replies
Open on X →
detection mAP@50
- low effort: #1, 82.1
- high effort: #1, 83.6
link: https://t.co/puUowt3HbY https://t.co/f7dYaFHwCm
18.9K views · 88 likes
· 5 reposts · 1 replies
Open on X →
Gemini dethroned
GPT-6 Astra is the best "vision" model I've seen
- notices tiny details
- draws conclusions
- produces precise and tight boxes
- sees and reads text in different contexts
- knows a lot about a lot
- fast
- expensive
↓ GPT-6 Astra detection deep dive https://t.
860.6K views · 1.4K likes
· 88 reposts · 47 replies
Open on X →
@skalskip92 is it open source, your hands, or the prompt or testing environment? i want a similar thing and i tried for a week but the architecture and prompt for object detection, bounding box, drawings, and coordinates, etc
74 views · 1 likes
· 0 reposts · 0 replies
Open on X →
@skalskip92 I am beginning to understand why Qwen didn’t release the vision encoder on the new qwen3.8 max! It’s so strong!
741 views · 5 likes
· 0 reposts · 1 replies
Open on X →
Gemini 3.8 Flash’s speed is insane
link: https://t.co/tC22dvHj1Y https://t.co/VP1YePh0dS
1.9K views · 18 likes
· 0 reposts · 2 replies
Open on X →
spatial reasoning, Gemini 3.8 Flash (high)
compare Gemini 3.8 Flash, Qwen 3.8 Flash, Muse Spark 1.3, Claude Fable 5.1 and GPT 5.6 Terra: https://t.co/MuTyzQKuou https://t.co/KeKnDZiQyB
2.1K views · 16 likes
· 0 reposts · 1 replies
Open on X →
technical drawing reasoning, Gemini 3.8 Flash (high) https://t.co/8DP5T5C93h
1.7K views · 13 likes
· 0 reposts · 2 replies
Open on X →
tables with handwritten data reasoning, Gemini 3.8 Flash (high) https://t.co/U9RxDmpHT4
1.6K views · 13 likes
· 0 reposts · 1 replies
Open on X →
quality assurance, Gemini 3.8 Flash (high) https://t.co/CP093s8iGV
1.9K views · 14 likes
· 0 reposts · 1 replies
Open on X →
another Gemini model at the top of the image reasoning leaderboard
link: https://t.co/Eu5loa2uw7 https://t.co/BeOWp1LlX3
2.2K views · 13 likes
· 0 reposts · 1 replies
Open on X →
tire size extraction, Gemini 3.8 Flash (high) https://t.co/Ckb2YQoHAk
2.7K views · 20 likes
· 0 reposts · 1 replies
Open on X →
handwritten notes extraction, Gemini 3.8 Flash (high)
compare Gemini 3.8 Flash, Qwen 3.8 Flash, Muse Spark 1.3, Claude Fable 5.1 and GPT 5.6 Terra: https://t.co/cLYO2zaZSj https://t.co/f1fFpldlKw
5.3K views · 24 likes
· 0 reposts · 1 replies
Open on X →
another Gemini model at the top of the data extraction leaderboard
link: https://t.co/heRxM0xCsJ https://t.co/4N6n45lngO
4.5K views · 21 likes
· 0 reposts · 1 replies
Open on X →
Frente a cuentas del mismo tamaño
38 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
Visualizaciones medianas4 712esta cuenta946mediana de 10K–100K
Alcance, %9.54%esta cuenta3.31%mediana de 10K–100K
Interacción, %0.69%esta cuenta1.89%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 4 712 | 946 | 4.98× |
| Alcance (visualizaciones ÷ seguidores) | 9.54% | 3.31% | 2.88× |
| Tasa de interacción | 0.69% | 1.89% | 0.36× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
7K5 Sep
5.7K
6.3K
5.2K
4.8K
4.3K
4.5K
5.8K
5K
2K
642.1K6 Sep
5.6K
3.7K
3.4K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.62%5 Sep
0.70%
0.70%
0.69%
0.70%
0.83%
0.69%
0.69%
0.95%
0.59%
0.51%6 Sep
0.71%
0.62%
1.09%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.89%.
What the audience does
Likes62.8%5 115 in total
Reposts3.7%299 in total
Replies1.9%156 in total
Quotes1.0%79 in total
Bookmarks30.7%2 502 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
8 Sep
Daily snapshots since 08 Sep 2026; the dashed line is the starting count.
Cuentas similares
Jacquie Beltrao
@SkyJacquie
98.8K followers
· 47.3K posts
🕊️Grateful Heart🕊️ ✓
@JanetTX_Blessed
98.8K followers
· 560.1K posts
Chidinma 🥀 ✓
@jaysongsico
98.8K followers
· 4.4K posts
Edward ✓
@EdwardXLreal
98.8K followers
· 21.1K posts
Phil Holloway ✈️ ✓
@PhilHollowayEsq
98.8K followers
· 55.3K posts
David Taylor
@magicman_osu
98.8K followers
· 10.3K posts
Claire Silver 🌸 ✓
@ClaireSilver
98.8K followers
· 54.2K posts
Jason Smith - 上官杰文 ✓
@ShangguanJiewen
98.8K followers
· 48.2K posts