Aravind Srinivas ✓
@AravSrinivas · SF · joined 31 Jul 2016
cofounder and ceo @perplexity_ai
1 136 632Followers
1 576Following
9 047Posts total
9.4MViews on collected posts
Neueste Beiträge
Wir suchen neue Beiträge…
Nous Portal subscribers now get Perplexity Fast Search as their default search on Hermes Agent. Enjoy!
13.7K views · 118 likes
· 4 reposts · 13 replies
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Fast Search is now the default search in Hermes Agent for Nous Portal subscribers.
It’s built for agentic tasks, with single-search-call latency of 160 ms at p50 and 230 ms at p95.
Learn more: https://t.co/irbFl40353 https://t.co/Vmf6sPr5vg
58.6K views · 91 likes
· 5 reposts · 10 replies
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Perplexity Computer becomes a secure, intelligent Deal Room with the @DocSend connector.
13.3K views · 77 likes
· 3 reposts · 3 replies
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Perplexity has the fastest and most capable Search API, powered by our own Rust-based retrieval and ranking engine, Photon, achieving sub-250ms p95 latency while still ranking highly on relevance and accuracy benchmarks. Photon was built by a small team and hundreds of
24.8K views · 230 likes
· 11 reposts · 29 replies
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Introducing Fast Search in the Perplexity Search API.
Fast Search runs on Photon, our new Rust-based retrieval and ranking service that we built with a small team of engineers and hundreds of agents.
It returns 95% of search results in 230 ms or less. https://t.co/aZj6Nc746m
65.9K views · 276 likes
· 20 reposts · 27 replies
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Welcome, @AMD, to the Perplexity Computer local AI ecosystem! https://t.co/WdD1SZFEXk
21.7K views · 319 likes
· 10 reposts · 26 replies
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Portable Computer for Windows is now available on @AMD Ryzen AI Max Series processors.
It makes it easy to run local AI agents that work with your connected apps and local files. Kick off tasks or schedule recurring work that runs entirely on your device. https://t.co/hyxaIBssSF
40.6K views · 220 likes
· 33 reposts · 32 replies
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0:41
The @DocSend connector is now live in Computer for all users.
One use case: Ask Computer to maintain a living thesis based on the latest state of deal room materials. https://t.co/Ymy3TCeGmb
21.4K views · 68 likes
· 7 reposts · 1 replies
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1:18
We're sharing new research on our post‑training approach, which teaches the Perplexity Computer agent to learn from real user sessions by imitating good trajectories and explicitly correcting avoidable mistakes like bad tool calls (even when the overall trajectory was
64.2K views · 472 likes
· 40 reposts · 34 replies
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New research: We post-trained a Computer model to learn from its own errors using hint-guided self-distillation.
In a live A/B test, a later trained checkpoint reduced tool-call failures by 21.2% relative to an earlier checkpoint. https://t.co/3MFrp1yxDt
98.4K views · 348 likes
· 32 reposts · 30 replies
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GPT-6 Sol is now available to all Perplexity users. On our Wide-And-Deep-Research (WANDR) evals, it outperforms Opus 5 at one-fifth the price. Sol will become the “Light” Effort orchestrator for Computer users, while Astra remains the orchestrator for "High" effort. Congrats to h
35.3K views · 402 likes
· 25 reposts · 36 replies
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/btw to initiate side chats inside a Computer session with a shared snapshot of the context.
35.2K views · 173 likes
· 6 reposts · 16 replies
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Claude Opus 5.5 is now available to all Perplexity Computer users. On our Wide-And-Deep-Research evals, it compares favorably to Fable 5.1 at a fraction of the cost. Opus 5.5 will become the “Standard”
Effort orchestrator on Computer for all Pro and Max users. Congrats https://t.
23.7K views · 371 likes
· 9 reposts · 27 replies
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We launched side chat in Computer.
Ask a quick question about a Computer task in a separate, read-only side chat while the main task keeps going. Each side chat uses a snapshot of the context and can read files or search the web without affecting the main task. https://t.co/ZsUQ
35.4K views · 30 likes
· 1 reposts · 1 replies
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Introducing Xiaomi MiMo-V2.6 — Pro & Flash.
Frontier intelligence, all the modalities, built in public.
🔹 Two omnimodal models, advancing through scaled reinforcement learning
🔹 Pro performs on par with Claude Opus 5 and GPT-5.6 Sol across most agent benchmarks
🔹 Pro scores htt
1.3M views · 8.7K likes
· 853 reposts · 352 replies
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Seedance and MiniMax H3 now on Perplexity Computer for detailed video generation workflows! Best used when creating web apps and creative materials that involve using several different tools together alongside the video model.
Enjoy!
23.1K views · 215 likes
· 6 reposts · 28 replies
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Slick design https://t.co/xCGup86mZw
46.6K views · 656 likes
· 12 reposts · 36 replies
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0:26
Computer is the best multi model harness for long horizon agentic workloads. It now has a few presets for different effort (cost and intelligence levels) that we’ve seen to work best for our users, with toggles to customize even further for power users.
43.2K views · 388 likes
· 21 reposts · 49 replies
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We’re rolling out effort controls in Computer’s model selector.
Effort presets combine the orchestrator model and reasoning depth to control how deeply and efficiently Computer works through a task.
Available now on web. Coming to mobile and desktop soon. https://t.co/7Kuj6vavc
167.4K views · 523 likes
· 47 reposts · 71 replies
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0:11
Coding agents require parallel searches across docs, filtered results from official docs, and the ability to extract detailed snippets. pplx-search-sdk supports all of these, and we have a new cookbook live. https://t.co/9pJTjpDC3g
45.4K views · 289 likes
· 28 reposts · 31 replies
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A new Perplexity Search SDK cookbook is live.
The recipe fans out focused searches, filters results to official docs, extracts relevant passages, and writes a source-linked brief for your coding agent.
Get started: https://t.co/lJEWmx0YB1 https://t.co/ZLu1Az647u
48.3K views · 57 likes
· 7 reposts · 7 replies
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GIF
We built a replacement for AWS DynamoDB, a key-value database for fast web content fetches. This was done with two engineers and hundreds of persistent Computer agents over two months. Migrating to our in-house database will save us up to a hundred million dollars yearly.
435.4K views · 3.3K likes
· 214 reposts · 175 replies
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We’re publishing research on how we built CobbleDB, our key-value database that serves web content for Perplexity search.
Two engineers and a team of hundreds of proactive, always-on AI agents built the core infrastructure in two months. https://t.co/OsCtY15UW6
484K views · 950 likes
· 90 reposts · 79 replies
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🚨 @perplexity_ai iOS app is now fully compatible with the new iOS 27 (iOS 26.7? 👀). Let us know if you see any issues. iPhone Duo improvements coming too as soon as 27.1 beta hits! https://t.co/tlmxgK2Drf
37.5K views · 22 likes
· 1 reposts · 3 replies
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We’re expanding our work with @nvidia to bring fully local AI to Microsoft Windows PCs with RTX GPUs. Unmetered local intelligence on every Windows PC running on NVIDIA hardware and Perplexity harness. Enjoy!
113.7K views · 1.3K likes
· 77 reposts · 92 replies
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Computer is turning into a workspace of humans and AIs.
43.1K views · 433 likes
· 21 reposts · 45 replies
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Quite an important take. Economists and their theories are outdated to measure the benefits of AI. AI is already saving people a lot of time and money that doesn’t get measured.
136.1K views · 1.3K likes
· 79 reposts · 80 replies
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Im Vergleich zu Konten gleicher Größe
73 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 1M–10M Follower. wird mehr Menschen gezeigt als Konten gleicher Größe.
Medianaufrufe43 130dieses Konto14 648Median für 1M–10M
Reichweite, %3.79%dieses Konto0.74%Median für 1M–10M
Interaktion, %0.77%dieses Konto0.70%Median für 1M–10M
| Kennzahl | Dieses Konto | Median für 1M–10M | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 43 130 | 14 648 | 2.94× |
| Reichweite (Aufrufe ÷ Follower) | 3.79% | 0.74% | 5.13× |
| Interaktionsrate | 0.77% | 0.70% | 1.10× |
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
23.7K22 Sep
35.2K
35.3K
98.4K
64.2K
42K23 Sep
21.4K24 Sep
40.6K
21.7K
65.9K
24.8K
13.3K
58.6K
13.7K
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
1.72%22 Sep
0.56%
1.32%
0.43%
0.86%
1.52%23 Sep
0.37%24 Sep
0.72%
1.65%
0.51%
1.10%
0.63%
0.19%
0.99%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.
What the audience does
Likes71.6%22 828 in total
Reposts5.4%1 733 in total
Replies4.6%1 458 in total
Quotes2.2%715 in total
Bookmarks16.2%5 163 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
23 Sep
Daily snapshots since 23 Sep 2026; the dashed line is the starting count.
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