Compare product launches

Lead

Compare product attention over the first 12 weeks of observed activity.

Week 1 begins at each product’s first observed activity, with its tracking date used when no activity is available. This may differ from its official launch date.

Companies and products

Companies scope the product catalog. Activity includes all eligible publishers. Products with shared owners count once.

TypeSafe AI
Deepgram
Google Cloud
4 of 6 products selected

Show: Mentions · Display: Cumulative · Window: First 12 weeks · Product-owner content included.
Public normalized data includes Blog, X / Twitter, and YouTube.

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Mentions · Cumulative

Normalized data through Oct 5, 2026. Each week spans seven days from that product’s comparison start. Hollow points mark partial weeks; they contain recorded data only.

View week-by-week tables

Product summary

Totals cover the displayed window, including its partial week. Averages, peaks, and latest changes use completed weeks only. Products may have different amounts of completed history.

ProductComparison startCompleted weeksPartial progress MentionsItemsDistinct companiesAvg mentions / completed weekPeak completed weekLatest completed-week change
Deepgram — Deepgram Aura-2 Apr 15, 2025
First observed data
12 — 93132 7.8 Week 1
82 mentions
—
Google Cloud — Gemini 3.7 Flash Aug 3, 2026
First observed data
9 Week 10
1 of 7 days
2227026 24.7 Week 2
81 mentions
650.0%
Google Cloud — Gemini 3.8 Flash Sep 2, 2026
First observed data
4 Week 5
6 of 7 days
4426729 100.0 Week 4
251 mentions
1040.9%
TypeSafe AI — Jev Sep 15, 2026
First observed data
3 — 2,78233196 927.3 Week 2
1,282 mentions
-57.6%

Source breakdown

ProductBlogX / TwitterYouTube
MentionsItemsDistinct companiesMentionsItemsDistinct companiesMentionsItemsDistinct companies
Deepgram — Deepgram Aura-28682541211
Google Cloud — Gemini 3.7 Flash1172013974816822
Google Cloud — Gemini 3.8 Flash34332157531192442
TypeSafe AI — Jev2,27210555268193652423318

Week-by-week detail

Deepgram — Deepgram Aura-2
Deepgram — Deepgram Aura-2 · Mentions · Cumulative
Launch weekActual datesStatusMentionsItemsDistinct companiesCumulative mentionsMention growth
Week 1Apr 15, 2025 – Apr 21, 2025 Completed 825282 —
Week 2Apr 22, 2025 – Apr 28, 2025 Completed 43286 -95.1%
Week 3Apr 29, 2025 – May 5, 2025 Completed 00086 -100.0%
Week 4May 6, 2025 – May 12, 2025 Completed 11187 —
Week 5May 13, 2025 – May 19, 2025 Completed 00087 -100.0%
Week 6May 20, 2025 – May 26, 2025 Completed 11188 —
Week 7May 27, 2025 – Jun 2, 2025 Completed 00088 -100.0%
Week 8Jun 3, 2025 – Jun 9, 2025 Completed 11189 —
Week 9Jun 10, 2025 – Jun 16, 2025 Completed 42193 300.0%
Week 10Jun 17, 2025 – Jun 23, 2025 Completed 00093 -100.0%
Week 11Jun 24, 2025 – Jun 30, 2025 Completed 00093 —
Week 12Jul 1, 2025 – Jul 7, 2025 Completed 00093 —
Google Cloud — Gemini 3.7 Flash
Google Cloud — Gemini 3.7 Flash · Mentions · Cumulative
Launch weekActual datesStatusMentionsItemsDistinct companiesCumulative mentionsMention growth
Week 1Aug 3, 2026 – Aug 9, 2026 Completed 4114 —
Week 2Aug 10, 2026 – Aug 16, 2026 Completed 81301485 1925.0%
Week 3Aug 17, 2026 – Aug 23, 2026 Completed 47167132 -42.0%
Week 4Aug 24, 2026 – Aug 30, 2026 Completed 5076182 6.4%
Week 5Aug 31, 2026 – Sep 6, 2026 Completed 17103199 -66.0%
Week 6Sep 7, 2026 – Sep 13, 2026 Completed 622205 -64.7%
Week 7Sep 14, 2026 – Sep 20, 2026 Completed 000205 -100.0%
Week 8Sep 21, 2026 – Sep 27, 2026 Completed 211207 —
Week 9Sep 28, 2026 – Oct 4, 2026 Completed 1533222 650.0%
Week 10Oct 5, 2026 – Oct 5, 2026 Partial · 1 of 7 days 000222 -100.0%
Partial week
Google Cloud — Gemini 3.8 Flash
Google Cloud — Gemini 3.8 Flash · Mentions · Cumulative
Launch weekActual datesStatusMentionsItemsDistinct companiesCumulative mentionsMention growth
Week 1Sep 2, 2026 – Sep 8, 2026 Completed 41201441 —
Week 2Sep 9, 2026 – Sep 15, 2026 Completed 86138127 109.8%
Week 3Sep 16, 2026 – Sep 22, 2026 Completed 2233149 -74.4%
Week 4Sep 23, 2026 – Sep 29, 2026 Completed 2512211400 1040.9%
Week 5Sep 30, 2026 – Oct 5, 2026 Partial · 6 of 7 days 4298442 -83.3%
Partial week
TypeSafe AI — Jev
TypeSafe AI — Jev · Mentions · Cumulative
Launch weekActual datesStatusMentionsItemsDistinct companiesCumulative mentionsMention growth
Week 1Sep 15, 2026 – Sep 21, 2026 Completed 95711540957 —
Week 2Sep 22, 2026 – Sep 28, 2026 Completed 1,282137532,239 34.0%
Week 3Sep 29, 2026 – Oct 5, 2026 Completed 54379432,782 -57.6%

Recent matching content

Latest 50 matching items across selected products and their displayed windows. Items mentioning several products appear once.

ContentProductsSourcePublisherDate
5 days left to try @typesafeai's Jev for free in n8n ⏳ Got a workflow making judgment calls with a general-purpose LLM? Try giving that job to Jev. https://t.co/nhxZF4YvqvTypeSafe AI — JevX / Twittern8nOct 5, 2026
Interrupt NYC: Opening KeynoteTypeSafe AI — JevYouTubeLangChainOct 5, 2026
Cloudflare Just Challenged Jev, So I Tested Their New Model (Clef)TypeSafe AI — JevYouTubeBetter StackOct 5, 2026
Cloudflare Clef: Choosing and Testing a Decision ModelTypeSafe AI — JevBlogTestMu AIOct 5, 2026
Sales Is Shipping SoftwareTypeSafe AI — JevYouTubeReplitOct 3, 2026
Does an AI judge need to speak your customer's language? | Galtea BlogTypeSafe AI — JevBlogGalteaOct 3, 2026
Inline Charts, New Models & Jev | This Week in Replit (Oct 2, 2026)TypeSafe AI — JevYouTubeReplitOct 2, 2026
This Week in Replit 1) Interactive charts are now in Replit chat. Why is this quarter's pipeline falling short? Which channels are performing best? Just ask Replit Agent "let's visualize this" and get a great visualization right in your chat. → https://t.co/d1nF08XJpt 2) New models are now available in Replit for you to choose from. GPT-6.1 Sol from OpenAI, strong on tougher tasks. Claude Sonnet 5.5 from Anthropic, built for fast everyday features and fixes. Choose a model when building with Agent, or sTypeSafe AI — JevX / TwitterReplitOct 2, 2026
RT @techgirl1908: If you haven't explored decision models yet, here's your chance. @johnlindquist's livestream will show Jev in action. T…TypeSafe AI — JevX / TwitterGoogle CloudOct 2, 2026
New: Model Router Benchmarks Compare 7 routers side by side on quality, speed, and cost across 6 benchmarks. Use them now, including Jev Router, Unbiased Pareto, NVIDIA Switchyard, and more. https://t.co/mboQRoDX4J https://t.co/qJNemq4B3sTypeSafe AI — JevX / TwitterOpenRouterOct 2, 2026
Jev is now in the AI SDK for Python. To test it, we ran two experiments: ▪︎ Detecting Python vs. English as text is typed ▪︎ Writing Python, one decision at a time 𝚞𝚟 𝚊𝚍𝚍 𝚊𝚒 https://t.co/fWPx6k3Gw3 https://t.co/eLaAvdzGdSTypeSafe AI — JevX / TwitterVercelOct 2, 2026
Some cool things developers have been building with Agora lately 👀 ☕️ Spidey is a friendly AI companion that helps you manage tasks by voice. By @HaimantikaM . ⚔️ Voice Arena brings two voice agents with different turn-taking and interruption settings into a live battle. By @HarishKotra . 🎙️ Jev VAD explores when a voice agent should listen or keep talking. By @SoCalJayF . 🎧 An interactive podcast where you can jump in and talk to two AI hosts. By @zicojzc.TypeSafe AI — JevX / TwitterAgoraOct 2, 2026
What's new: - Get answers about your agents faster with Nitro, Brainstore's new asynchronous query engine - Trace Jev calls from your application or use Jev as a scorer in Braintrust - Send application logs to Braintrust and inspect them alongside your traces - Run Python and TypeScript evals at a discount through provider batch APIs - Group projects into named collections for repeatably assigning access to specific users Read more → https://t.co/58RL6bHkh6TypeSafe AI — JevX / TwitterBraintrustOct 2, 2026
Using Jev to route messages and reduce LLM callsTypeSafe AI — JevBlogLogRocketOct 2, 2026
Gemini 4 Argon access: What Google's Fairwind rules requireGoogle Cloud — Gemini 3.8 FlashBlogWorkOSOct 2, 2026
Jev for Python engineersTypeSafe AI — JevBlogVercelOct 2, 2026
September 2026 product updateTypeSafe AI — JevBlogUnified.toOct 2, 2026
How to Deploy OpenJev on Runpod ServerlessTypeSafe AI — JevBlogRunPodOct 2, 2026
Model Router BenchmarksTypeSafe AI — JevBlogOpenRouterOct 2, 2026
Generate embeddings with Neon AI GatewayTypeSafe AI — JevBlogNeonOct 2, 2026
Neon gives you 100 projects for free, with 1 GB of Postgres storage eachTypeSafe AI — JevBlogNeonOct 2, 2026
New in llama.cpp: Decision ModelsTypeSafe AI — JevBlogHugging FaceOct 2, 2026
Claude’s hillclimb loop for AI agents: start with production tracesTypeSafe AI — JevBlogArizeOct 2, 2026
You can use Jev to fix the PII problem in Postgres. To demonstrate that, we built pg_redact: - It simulates a support inbox - Depending on who sees it, a SQL function in Postgres redacts the info https://t.co/IFpi5s0gOz https://t.co/WyfQbLrF1zTypeSafe AI — JevX / TwitterNeonOct 1, 2026
September ships: → Jev-as-a-Judge for high-volume structured evals → Agent-as-a-Judge now available on every plan → Alyx long-term memory + experience-aware help → Full session + trace annotation queues → Remote evaluator runs you can inspect as traces → GPT reasoning in Alyx → New model support in the Playground + evaluators And lots of improvements across tracing, evals, annotations, APIs, SDKs, and Signal. Full September changelog: https://t.co/pPAkNLHqmRTypeSafe AI — JevX / TwitterArizeOct 1, 2026
160+ people hacked on Jev at our SF office 11 days after it launched. Best tip of the day from Allie Laabs: ask every question you might need in one call. We cover why, and more, in our latest blog post: https://t.co/Oy7IYFoSYCTypeSafe AI — JevX / TwitterCodeRabbitOct 1, 2026
RT @HKrackDev: What if your if-statements could think? I sat down with TypeSafe’s Allie Laabs on The Merge to talk about Jev, decision mod…TypeSafe AI — JevX / TwitterCodeRabbitOct 1, 2026
RT @victormustar: Alert: Cloudflare just dropped a Jev alternative on Hugging Face 🚨 (Apache 2.0) https://t.co/vEcHLoQZA9TypeSafe AI — JevX / TwitterHugging FaceOct 1, 2026
When a #Jev-powered check gets something wrong, and a person corrects it, where does that correction go, and how can you ensure the correction is implemented in future results? 🤔 This new blog from Yugabyte expert @quorralyne explains why a decision model #correction should live outside the model, what a system needs to ensure corrections carry into the next request, and the #codereviewcheck that prevents the system from raising a finding after a reviewer has overruled it. 💡 https://t.co/Fn3DHSZbqHTypeSafe AI — JevX / TwitterYugabyteOct 1, 2026
We had Jev score Elasticsearch hybrid search results and let a short Python policy do the reranking. • nDCG@10 went from 0.9351 to 0.9565 (250 Amazon Queries) • Latency: 70–500ms end-to-end • Cost: $0.042/M input tokens (outputs free) No text parsing, just structured probabilities feeding business logic. https://t.co/HGZPzC9s9xTypeSafe AI — JevX / TwitterElasticOct 1, 2026
Your agent doesn't know Jev. Most code calls LLMs the long way: state → prompt → text → parse → if statement Decision models like Jev skip the text and plug into your logic. Here's 30 minutes with @typesafeai's @allietheicon on building with it. https://t.co/ZrRJa40yyyTypeSafe AI — JevX / TwitterCodeRabbitOct 1, 2026
Jev vs LLMs: When to Use TypeSafe's Jev AI ModelTypeSafe AI — JevYouTubeCodeRabbitOct 1, 2026
RT @MaziyarPanahi: OpenAI, Liquid and Nace shipped Jev-style APIs this week. i trained my own with one prompt in @huggingface's HuggingChat…TypeSafe AI — JevX / TwitterHugging FaceOct 1, 2026
RT @rawtreedb: We've run Jev on every PR in our main repo for a while now, and people liked it enough that we open-sourced it. It scores e…TypeSafe AI — JevX / TwitterTinybirdOct 1, 2026
@typesafeai's Jev model just landed in n8n. Jev’s job isn’t to write, it decides: returning a choice + confidence you can use for branching, sorting and routing in your workflows. Think of it as a smarter If/Switch for the fuzzy stuff. https://t.co/ckHh1SipzOTypeSafe AI — JevX / Twittern8nOct 1, 2026
Can you DJ with AI?? In this video @aizkmusic demonstrates a fun demo of Simple Jev -- picking the right songs to play. Simple Jev is live on Featherless! https://t.co/OfoNJyZQiATypeSafe AI — JevX / TwitterFeatherlessOct 1, 2026
OpenMuse 🤝 Jev Clickable choices instead of a wall of text. Comparison cards, each sourced from a page OpenMuse actually read. Jev picks when to show them and how to rank them. https://t.co/MbuPDiOc2ATypeSafe AI — JevX / TwitterCopilotKitOct 1, 2026
How to Build a Model Router in the HarnessTypeSafe AI — JevBlogLangChainOct 1, 2026
How Jev Uses Meko to Make Code Review Feedback StickTypeSafe AI — JevBlogYugabyteOct 1, 2026
Train a Model on Your Own Agent SessionsTypeSafe AI — JevBlogPaper Compute CompanyOct 1, 2026
Announcing @neon/effectTypeSafe AI — JevBlogNeonOct 1, 2026
pg_redact: Content-aware PII redaction with Jev, enforced in PostgresTypeSafe AI — JevBlogNeonOct 1, 2026
The Merge: What if your ‘if-statements’ could think?TypeSafe AI — JevBlogCodeRabbitOct 1, 2026
Introducing Clef: our open-source decision models, and new RL fine-tuning platformTypeSafe AI — JevBlogCloudflareOct 1, 2026
Cost vs. Quality Tradeoff Framework for Agent ModelsGoogle Cloud — Gemini 3.7 FlashGoogle Cloud — Gemini 3.8 FlashBlogOpenRouterOct 1, 2026
How to use AI Agents for automated code reviewsGoogle Cloud — Gemini 3.8 FlashYouTubeGoogle CloudSep 30, 2026
Demo: Using Jev with Agora Conversational AITypeSafe AI — JevYouTubeAgoraSep 30, 2026
RT @steventey: Fun fact: We actually built our AI emoji picker @dubdotco with Jev at first, but since we had to feed the entire emoji catal…TypeSafe AI — JevX / TwitterUpstashSep 30, 2026
Now GA: Kong AI Gateway 2.2, featuring a new AI-native user experience, advanced cost management, and broader model support. 🔌 MCP Server Bundling: consolidates a growing sprawl of MCP servers into one Kong route, revealing only the tools each caller is authorized to see and execute. 💰 Modality-aware cost governance: tracks text, audio, image, and video pricing separately, plus cache reads vs. cache writes, for accurate cost attribution instead of flat token estimates. Also ships support for Headroom, forTypeSafe AI — JevX / TwitterKongSep 30, 2026
We tested #Jev against gpt-4o-mini as the judge model evaluating the same set of 1,000 application traces. Jev came out 3.5x cheaper and 3.8x faster than the LLM judge, and agreed with it on 897 of them. Here's how we set up the experiment and what we learned: https://t.co/5m58A3fc1DTypeSafe AI — JevX / TwitterCometSep 30, 2026