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Harshil Mathur ✓

@harshilmathur · Bengaluru, India · joined 21 Sep 2009

Co-Founder & CEO, @razorpay

51 526Followers
388Following
1 992Posts total
927.9KViews on collected posts

Derniers posts

@harshilmathur @Razorpay @khilanharia @narendramodi @PMOIndia @GffFintechfest 🚀 496 views · 3 likes · 0 reposts · 0 replies Open on X →
@harshilmathur @Razorpay @khilanharia @narendramodi @PMOIndia @GffFintechfest vulcan live on stage is a big moment for razorpay, congrats to the team. india's payments stack keeps leveling up 166 views · 3 likes · 0 reposts · 0 replies Open on X →
@harshilmathur @Razorpay @khilanharia @narendramodi @PMOIndia @GffFintechfest incredible ❤️ 866 views · 5 likes · 0 reposts · 0 replies Open on X →
A special moment for @Razorpay today. 🇮🇳 Our CPO @khilanharia presented Vulcan - Razorpay’s foundation model for payments to Hon’ble Prime Minister Shri Narendra Modi today. A proud day for everyone who built it. And we’re just getting started. Built in India. 🇮🇳 A lot more h
0:23
74K views · 1.4K likes · 99 reposts · 29 replies Open on X →
Speaking at @GffFintechfest on Wednesday, but a timely reminder for GFF week - 21.6K views · 184 likes · 4 reposts · 6 replies Open on X →
Taking this one step further: who do you think trained AI to write sloppy code? 10.7K views · 18 likes · 1 reposts · 11 replies Open on X →
repeat after me: there is no such thing as AI slop there is only human slop accelerated by AI 8.7K views · 50 likes · 4 reposts · 4 replies Open on X →
Side effect of testing too many local models: I finally discovered the limit of @airtelindia’s “unlimited” broadband plan. 3.3 TB, apparently 😂 84.6K views · 1.2K likes · 24 reposts · 53 replies Open on X →
Been playing with 2 DGX Sparks for the last few weeks, running DeepSeek V4 Flash 0731 official FP8. Now running a near Opus-level model locally at: → 75-89 tok/s single stream (TP=2 mode) → 1M+ context (verified retrieval) Significant upfront cost today, but this feels like a h
DGX Sparks connected with QFSP cable
77 tok/s sustained speed
139K views · 657 likes · 17 reposts · 52 replies Open on X →
@harshilmathur @Razorpay @nvidia @awscloud for anyone interested in the technical details check out treasure: https://t.co/fy15lcodCb https://t.co/3MohbQV1Ip 1.3K views · 46 likes · 2 reposts · 2 replies Open on X →
@harshilmathur @Razorpay @nvidia @awscloud looks super! waiting for tech blog :) 439 views · 2 likes · 0 reposts · 0 replies Open on X →
@harshilmathur @Razorpay @nvidia @awscloud Amazing! Looking forward to the blogpost :) Will be lots to learn 469 views · 2 likes · 0 reposts · 0 replies Open on X →
@harshilmathur @Razorpay @nvidia @awscloud Great work! But waiting for Specs and some Benchmark numbers! 519 views · 1 likes · 0 reposts · 0 replies Open on X →
@Razorpay @nvidia @awscloud More at https://t.co/qPab8ofWm1 For those who want to go deeper into how Vulcan actually works - there’s a lot more to share. Training a foundation model on billions of payments meant solving problems we hadn’t encountered before - from how we repre 21.4K views · 169 likes · 12 reposts · 9 replies Open on X →
4 billion payments. 3 trillion data points. One model trained on all of it. Meet @Razorpay Vulcan - India’s first transformer-based AI foundation model for payments. Built, trained and hosted in India, in partnership with @nvidia and @awscloud. Until now, every payments https:
1:40
563.7K views · 5.4K likes · 438 reposts · 317 replies Open on X →
You can skip all the parties, all the conferences, all the press, all the tweets. Build a great product and get users and win. 0 views · 5.9K likes · 1.3K reposts · 94 replies Open on X →

Face aux comptes de taille comparable

15 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes8 737ce compte924médiane pour 10K–100K
Portée, %16.96%ce compte3.62%médiane pour 10K–100K
Engagement, %0.69%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post8 7379249.46×
Portée (vues ÷ abonnés)16.96%3.62%4.68×
Taux d'engagement0.69%1.52%0.45×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

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

21.4K18 Aug
519
469
439
1.3K
139K27 Aug
84.6K3 Sep
8.7K6 Sep
10.7K
21.6K7 Sep
74K8 Sep
866
166
496

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

0.89%18 Aug
0.19%
0.43%
0.46%
3.79%
0.53%27 Aug
1.56%3 Sep
0.69%6 Sep
0.29%
0.90%7 Sep
2.14%8 Sep
0.58%
1.81%
0.60%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes78.3%9 180 in total
Reposts5.1%601 in total
Replies4.1%483 in total
Quotes1.7%197 in total
Bookmarks10.8%1 266 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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