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

Последние посты

Udit Goenka ✓@iuditg6 Sep

@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 →

Udit Goenka ✓@iuditg6 Sep

@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 →

Udit Goenka ✓@iuditg6 Sep

@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 →

Udit Goenka ✓@iuditg6 Sep

@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 →

Udit Goenka ✓@iuditg6 Sep

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 →

Udit Goenka ✓@iuditg6 Sep

@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 →

Udit Goenka ✓@iuditg6 Sep

@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 →

Udit Goenka ✓@iuditg5 Sep

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 →

Udit Goenka ✓@iuditg5 Sep

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 →

Udit Goenka ✓@iuditg4 Sep

Shipping fast in today's era is a super power. 2.1K views · 10 likes · 2 reposts · 0 replies Open on X →

Udit Goenka ✓@iuditg4 Sep

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 →

На фоне аккаунтов своего размера

11 постов за последние 90 дней рядом с диапазоном 10K–100K подписчиков. обычный охват для своего размера, отклик слабее, чем у большинства.

Медианные просмотры2 099этот аккаунт879медиана для 10K–100K

Охват, %3.44%этот аккаунт3.22%медиана для 10K–100K

Вовлечённость, %1.13%этот аккаунт1.99%медиана для 10K–100K

Показатель	Этот аккаунт	Медиана для 10K–100K	Отношение
Медианные просмотры на пост	2 099	879	2.39×
Охват (просмотры ÷ подписчики)	3.44%	3.22%	1.07×
Вовлечённость	1.13%	1.99%	0.57×

Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →

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

42.9K

2.6K

2.1K

2.5K

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.

Последние посты

На фоне аккаунтов своего размера

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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