AKASH DEEP

just be awesome in every field

[AKASH DEEP @akashtweeets]

@yourtechgirl24 AI

[Varun Sharma @varunconfirms]

@nikitabier @elonmusk - I've spent $200K and built something that will help X become the greatest app of all time (Really hoping this works lol).

The problem:

@X is drowning in millions of complaints and suggestions daily from passionate users:
“Edited post shows old version in embeds or previews.”, “Payment succeeded but the verification badge is not appearing.”,
“Group DMs not showing all participants."...scattered across tweets, app reviews, support tickets, and Reddit—zero structure.

You don't know whether 10 people or 10,000 are affected, or how to route the right feedback to the right team.

What @enterpret_ai does:

We automatically structure all customer feedback into a living knowledge graph—like a real-time map of every product issue.

"Payment failed," "HDFC card declined," "can't upgrade" all get filed in the same folder: Billing → Payment Processing → Regional Failures. Same issue, same folder, every time.

Our AI parses customer complaints to understand which parts of the product architecture they refer to, then surfaces them to the right product teams if urgent, or stores them in a connected knowledge graph for deep research with our AI.

When thousands of users from India tweet different versions of "can't pay for Premium," our AI knows:
- It's the same PREM_ERR_402 issue (not random complaints)
- 8,200 users affected with HDFC/ICICI cards
- $1.2M monthly revenue impact
- The payments team owns this fix
- Then automatically alerts them before it trends on Reddit

@enterpret_ai turns unstructured complaints into owned engineering work.

Grok can't do this. Ask it about "payment issues" or "Amex card declined," and it might say it's a checkout bug. No structured taxonomy, no knowledge graph connecting these as the same problem affecting thousands.

@nikitabier @elonmusk - I've already built an Enterpret instance for X. I'll personally fly to X HQ to show you how to fix your top 100 issues in 30 days.

We've raised $25M to build the best customer intelligence platform.

We're the secret behind how the most loved consumer apps like @NotionHQ , @perplexity_ai , @canva , @linear , @hinge , @Strava and @webflow maintain near-zero bugs while shipping fast.

For any company with 250K+ users, we guarantee $1M+ in savings from prevented churn and misdirected engineering.

Book a demo here: https://t.co/sFGjmcE0za

I'm giving away 20 iPhone Air units to people who Quote tweet with your best X improvement/complaint + tag @nikitabier @elonmusk.

Top 20 suggestions that resonate the most with people (by view count) win.

[AKASH DEEP @akashtweeets]

Love scrolling on X, but I hate when my feed reshuffles every time I refresh.
Sometimes I just want to finish reading what I was mid-way through.
@elonmusk @nikitabier

[Varun Sharma @varunconfirms]

@nikitabier @elonmusk - I've spent $200K and built something that will help X become the greatest app of all time (Really hoping this works lol).

The problem:

@X is drowning in millions of complaints and suggestions daily from passionate users:
“Edited post shows old version in embeds or previews.”, “Payment succeeded but the verification badge is not appearing.”,
“Group DMs not showing all participants."...scattered across tweets, app reviews, support tickets, and Reddit—zero structure.

You don't know whether 10 people or 10,000 are affected, or how to route the right feedback to the right team.

What @enterpret_ai does:

We automatically structure all customer feedback into a living knowledge graph—like a real-time map of every product issue.

"Payment failed," "HDFC card declined," "can't upgrade" all get filed in the same folder: Billing → Payment Processing → Regional Failures. Same issue, same folder, every time.

Our AI parses customer complaints to understand which parts of the product architecture they refer to, then surfaces them to the right product teams if urgent, or stores them in a connected knowledge graph for deep research with our AI.

When thousands of users from India tweet different versions of "can't pay for Premium," our AI knows:
- It's the same PREM_ERR_402 issue (not random complaints)
- 8,200 users affected with HDFC/ICICI cards
- $1.2M monthly revenue impact
- The payments team owns this fix
- Then automatically alerts them before it trends on Reddit

@enterpret_ai turns unstructured complaints into owned engineering work.

Grok can't do this. Ask it about "payment issues" or "Amex card declined," and it might say it's a checkout bug. No structured taxonomy, no knowledge graph connecting these as the same problem affecting thousands.

@nikitabier @elonmusk - I've already built an Enterpret instance for X. I'll personally fly to X HQ to show you how to fix your top 100 issues in 30 days.

We've raised $25M to build the best customer intelligence platform.

We're the secret behind how the most loved consumer apps like @NotionHQ , @perplexity_ai , @canva , @linear , @hinge , @Strava and @webflow maintain near-zero bugs while shipping fast.

For any company with 250K+ users, we guarantee $1M+ in savings from prevented churn and misdirected engineering.

Book a demo here: https://t.co/sFGjmcE0za

I'm giving away 20 iPhone Air units to people who Quote tweet with your best X improvement/complaint + tag @nikitabier @elonmusk.

Top 20 suggestions that resonate the most with people (by view count) win.

[AKASH DEEP @akashtweeets]

@goibibo @jagograhakjago The hotel karlos castle @ paharganj has deliberately come with policy of pre payment and non refundable policy so that the customers would have no choice to cancel and get the money back. They have to either stay unfortunately or forget the refund There is a loophole and big scam

[AKASH DEEP @akashtweeets]

@goibibo @jagograhakjago after a long talk regarding this issue they are not even settling for a partial refund amount for tomorrow's booking. The manager of the hotel is talking arrogantly and despite several attempts goibibo customer executives are not coming to a conclusion.

[Mufaddal Vohra @mufaddal_vohra]

Crowd started booing as soon as Richard Kettleborough's name announced.

[AKASH DEEP @akashtweeets]

Big Day 🎉
We already know the result but still oreo khao guys🤐

#INDvAUSFinal #CWC23Final @Oreo

[Star Sports @StarSportsIndia]

Tu khud hai apne saath mein, toh jeet hai tere haath mein! 🥹💙🇮🇳

Nothing more needs to be said as #TeamIndia prepare for the biggest match of their lives, the #CWC23 Final 🏆

Tune-in to the Final #INDvAUS
Tomorrow, 12 PM onwards | Star Sports Network
#CWCFinalOnStarSports

[News Arena India @NewsArenaIndia]

UP BJP Government has decided to build a cricket stadium in Mohammad Shami’s village to honour his fabulous performance in the World Cup.

[Naman @wicketwizard]

Imagine if India and Pakistan never separated, the ODI team today would have been :

Gill
Rohit (C)
Kohli
Iyer
KL (wk)
Sky
Jadeja
Shami
Kuldeep
Bumrah
Siraj

[SwatKat💃 @swatic12]

David Beckham India trip 👀🤣

[Ashwini Vaishnaw @AshwiniVaishnaw]

छठ पर्व में घर जाने वाले यात्रियों के लिए स्टेशन पर व्यवस्था देखी।
आज, अभी तक, 1 लाख लोगों को ट्रेन के माध्यम से Delhi area से बिहार, झारखंड और eastern region के लिए रवाना किया जा चुका है।

सभी को छठ महापर्व की ढेरों शुभकामनाएं।

[Vikram Chandra @vikramchandra]

Appreciation message for the Wankhede crowd yesterday!
Clapped for Mitchell century too - but I saw how they can act as a force multiplier for Team India.
Shami drops a catch, to general disappointment.
But then the crowd keeps calling out to him. "Don't worry Shami, don't worry. Hota hai. Relax".
And then when he gets to bowl, the crowd eggs him on with chants of "Mohammed Shaaami"!
Good stuff.

[AKASH DEEP @akashtweeets]

Shami bhai nirash ni karte, aaye hai to khali waapas nahi jate! 1-2 shikar to karke hi jaunga miya @MdShami11
#INDvsNZ #CWC23semifinal #Shami

[AKASH DEEP @akashtweeets]

Maradona
Messi
Mbappe
Martinez
MARVELS❤
#FIFAWorldCup #ARGFRA

[AKASH DEEP @akashtweeets]

SURYA BHAI
#sky #INDvsZIM

[AKASH DEEP @akashtweeets]

Williamson is trying to be more Pujara today #WTCFinal 19 from 112 balls

[AKASH DEEP @akashtweeets]

A masterpiece from the true artist - Kevin De bruyne ! what a bloody goal!! #Debruyne #BEL

[AKASH DEEP @akashtweeets]

Yeah It's hard to get a place in Real Madrid but it's really tough to leave this franchise.
16 years of devoted service🤍 #SergioRamos #endofanera 💔 @SergioRamos @realmadriden

[ANI @ANI]

There have been export bans by several G7 member countries that blocked production in other countries & sometimes blocked production in middle-income countries,which is essential for production of vaccines for poorest countries. I'll take just one example, India: French President