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Udit Goenka

@iuditg · My AI SDR 👉 · joined 08 Nov 2009

Building https://t.co/xD5bmMEHgL, https://t.co/GkMfPDJpKk, https://t.co/2QzXFpGlvw, https://t.co/uGSPghRntB, https://t.co/rGtIeNa36u, https://t.co/Enke0ZJ3xu, https://t.co/tNSMW6shir, https://t.co/gXhCtOVawJ. Sold 3x startups. Invested in 40 startup

60 975Followers
371Following
46 878Posts total
67.6KViews on collected posts

Neueste Beiträge

@iuditg I have limited trials of fable and it feels clever(but too expensive). I think we may not need really huge models for coding. 5.6-sol is even better than Astra. 36 views · 1 likes · 0 reposts · 0 replies Open on X →
@iuditg Are you running Astra on Ultra or something? Astra is so unbelievably more efficient than Fable that it actually blows my mind and that's with Fable at medium reasoning and Astra at high/xhigh. The first task Astra was giving was one that both 5.6 Sol and Fable 5.1 had 2.5K views · 27 likes · 0 reposts · 1 replies Open on X →
@iuditg OpenAI has set the bar very low for AGI that's why everytime a new model launches, they think they are very close to AGI. 2.1K views · 26 likes · 0 reposts · 4 replies Open on X →
@iuditg If the prompt is good, GPT actually gets the work done. Overengineering is an issue, but a specific prompt can solve that. The best part is that it can be used for much more, like marketing, motion graphics, or demo videos with computer use. Its writing has also improved 2.6K views · 6 likes · 0 reposts · 1 replies Open on X →
OpenAI should stop hyping their model. Calling GPT 6 Astra as something close to AGI is wrong. It still sucks to manage coding tasks. - Continues to over engineer. - Continues to write poor quality code, and requires babysitting. - Continues over spending tokens on 42.9K views · 602 likes · 27 reposts · 128 replies Open on X →
@iuditg These arbitrary posts are totally useless. I gave a task to Fable 5.1 and it got totally stuck. And then I gave it to Astra and it finished in just 20 mins using only 5% of my weekly quota. There you go, now we have 2 data points countering each other. 81 views · 2 likes · 0 reposts · 0 replies Open on X →
@iuditg lol sounds about right. anthropic models just know when to stop and ask instead of burning tokens in a loop. gpt still tries to brute force everything. 618 views · 3 likes · 0 reposts · 1 replies Open on X →
I assigned a total of 5 task to GPT 6 - Astra. It only completed 2 task successfully, for the rest of the 3 task it got into useless loop, and got stuck with no end result for hours. I create a handoff and assigned all the task to Fable 5.1 and each of the 3 task got 11.2K views · 161 likes · 8 reposts · 28 replies Open on X →
Woke up with the access to GPT 6. Let's see what's the hype all about. I will be deeply evaluating the model. Will specially look into how token efficient it is, and whether the garbage loop code and logs it was producing has been resolve or not. 1.8K views · 4 likes · 1 reposts · 0 replies Open on X →
Shipping fast in today's era is a super power. 2.1K views · 10 likes · 2 reposts · 0 replies Open on X →
Even ISKCON have started spamming on WhatsApp asking for donation. So spend money on WhatsApp API to make more money. I understand the sentiments but do you think this is appropriate? https://t.co/9hoB6XtC1A 1.7K views · 5 likes · 1 reposts · 5 replies Open on X →

Im Vergleich zu Konten gleicher Größe

11 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. übliche Reichweite für diese Größe, schwächere Reaktion als bei den meisten.

Medianaufrufe2 099dieses Konto877Median für 10K–100K
Reichweite, %3.44%dieses Konto3.23%Median für 10K–100K
Interaktion, %1.13%dieses Konto1.99%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag2 0998772.39×
Reichweite (Aufrufe ÷ Follower)3.44%3.23%1.07×
Interaktionsrate1.13%1.99%0.57×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

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

1.7K4 Sep
2.1K
1.8K5 Sep
11.2K
6186 Sep
81
42.9K
2.6K
2.1K
2.5K
36

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.65%4 Sep
0.57%
0.29%5 Sep
1.75%
0.65%6 Sep
2.47%
1.78%
0.27%
1.40%
1.13%
2.78%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.99%.

What the audience does

Likes73.5%847 in total
Reposts3.4%39 in total
Replies14.6%168 in total
Quotes0.5%6 in total
Bookmarks8.1%93 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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