Product Hunt daily, October 12: EmbeddingGemma 2 tops a board built for agents
Google's EmbeddingGemma 2 led the October 12 Product Hunt daily board with 253 votes; six of the top ten sell agents data, memory or legwork.
Product Hunt’s daily board is where the English-speaking tech world sees the day’s new launches. On the final October 12 leaderboard, Google’s open multimodal embedding model EmbeddingGemma 2 took the top spot with 253 votes, and six of the ten products orbit agents — Manifold MCP feeding them marketing data, Hexis Cloud acting as the company brain, Ancher 2.0 turning saved links into a knowledge base, and Base Code letting a whole team ship code through a repo connection. The same day, Chinese tech circles were passing around a WeChat screenshot whose ranking, vote counts and even line-up disagree with the final board. This piece checks all ten against Product Hunt’s official page (viewed October 13).
Key points
- EmbeddingGemma 2, released by Google on October 6 (740M parameters, Apache 2.0), topped the October 12 daily board with 253 votes.
- The board clusters around one theme: Manifold MCP (marketing data for agents), Hexis Cloud (a company brain for agents) and Ancher 2.0 (an AI knowledge base of your saves) are all selling agents data and memory.
- The WeChat snapshot circulating in Chinese on October 12 was a morning capture: Bearconnect 2.0 sat at number ten with 80 votes, a seat the final board gives to Scrape Anything at 98.
The full board
The final October 12 daily leaderboard, with votes as displayed on October 13 (the day’s voting was still accumulating):
| Rank | Product | One-line pitch | Final votes |
|---|---|---|---|
| 1 | Google EmbeddingGemma 2 | Open, lightweight multimodal embeddings | 253 |
| 2 | ngram 2.0 | Papers and screencasts in, explainer videos out | 226 |
| 3 | Knocket | Website visitors chat without signing up | 188 |
| 4 | Base Code | The whole team builds on your repo | 180 |
| 5 | guilds.run | Multi-agent workflows you can audit | 162 |
| 6 | Manifold MCP | Marketing data for your agent | 139 |
| 7 | Ancher 2.0 | AI knowledge base for your saves | 131 |
| 8 | Hexis Cloud | One company brain for all agents | 111 |
| 9 | Kudos 3.0 | The AI that finds money you’re missing | 108 |
| 10 | Scrape Anything | Any website to clean data in one call | 98 |
The WeChat account “黄唐的AI笔记” published a longer image post on October 12 from an earlier snapshot: Knocket led with 154 votes, EmbeddingGemma 2 followed at 143, and Bearconnect 2.0 held tenth place at 80. Neither side copied wrong — Product Hunt’s daily board keeps counting through the day, and a morning capture never matches the close. Line by line:
| Snapshot rank | Product | Snapshot votes | Final rank | Final votes |
|---|---|---|---|---|
| 1 | Knocket | 154 | 3 | 188 |
| 2 | EmbeddingGemma 2 | 143 | 1 | 253 |
| 3 | ngram 2.0 | 138 | 2 | 226 |
| 4 | Base Code | 116 | 4 | 180 |
| 5 | Manifold MCP | 111 | 6 | 139 |
| 6 | Ancher 2.0 | 101 | 7 | 131 |
| 7 | guilds.run | 98 | 5 | 162 |
| 8 | Hexis Cloud | 93 | 8 | 111 |
| 9 | Kudos 3.0 | 80 | 9 | 108 |
| 10 | Bearconnect 2.0 | 80 | Not ranked | — |
Readers who only saw that image missed three things: EmbeddingGemma 2 overtook Knocket to win the day, guilds.run climbed from seventh to fifth, and Scrape Anything pushed Bearconnect out of the top ten at 98 votes. Both captures are real; they were taken at different times. Next time a “today’s top ten” image goes around, look for when the votes closed.
Data and memory for agents
Manifold MCP packs marketing data into a single MCP server: rankings, ads, Reddit discussions and sales leads in one query, with per-tool pricing shown before the agent runs it, per the WeChat post’s description. Hexis Cloud takes the intranet route: documents, skills and tools in one place, effective only after an owner approves, free for teams of three and open source to self-host, according to its page. Ancher 2.0 works on personal saves: stored articles and videos resurface from a fuzzy memory, answers carry their source, and video links land on the exact second.
The three products answer one question from three angles: the agent runs, so where do knowledge and data come from? Manifold covers live external data, Hexis covers what the company already knows, Ancher covers what you saved. That is the densest theme on this board — three of ten.
AI doing the legwork
Base Code opens code changes to non-engineers: connect a GitHub repo and a designer can propose a change through a PR that engineering signs off on. It is the same line as the developers in AI ports old games into the browser clearing grunt work with coding agents, with the entry point moved from a terminal to a browser tab. ngram 2.0 eats documents and screencasts: drop in a paper and it returns a narrated explainer video, pitched — per the WeChat post’s account of the official copy — by audience first, depth second. Scrape Anything by Context.dev makes a single-point play: one API call turns any website into structured data.
Kudos 3.0 is the one closest to your money: an AI that calls carriers to cut bills, cancels forgotten subscriptions and claims card benefits, with your approval before it moves anything. We published a dedicated entry the same day, Kudos 3.0 on Product Hunt, and the conclusion stands — every savings figure is company self-reported, with no third-party review yet. Read it as a well-built business plan rather than a savings tool.
Models and messaging plumbing
EmbeddingGemma 2 is the board’s only model release. Per Google’s official blog (October 6), it fits text, images, video and audio into one vector space at 740M parameters, so a voice query can find the right moment in a video; sharing Gemma 4’s tokenizer and audio encoder, a device running both uses less memory than two unrelated models. Google’s own demos already run that path: the AI Edge Gallery app’s video-moment finder locates a clip from a spoken sentence, and the AI Edge Foresight meeting app on Mac runs both models together. For developers building on-device RAG, it is the most clone-worthy item of the day — official repos on Hugging Face and GitHub, Apache 2.0.
Knocket is Tencent Cloud’s lightweight IM reception layer on its RTC infrastructure: visitors chat without signing up and get answered inside Telegram, with the page advertising free forever — an old category (the website chat widget) retold by Tencent with “no signup” as the hook. guilds.run is the board’s only explicit trust play for agents: every step of a multi-agent run can be audited backwards, fixes start as drafts, and nothing ships until you hit publish.
Our take
Read the October 12 board as one map and the center of gravity is clear: agents are moving from “does it run” to “does it have data, memory and an approval chain.” Hexis’s owner-approval step, guilds.run’s publish gate and Kudos’s consent-before-spending are three companies giving the same answer to the same risk — an agent that does real work needs a human signature somewhere.
Two caveats. First, votes measure launch-day attention, not staying power; whether EmbeddingGemma 2 or ngram end up in real workflows is a question this board cannot answer, and we are not going to pretend otherwise. Second, the load-bearing numbers on several of these products — Kudos’s annual savings, Hexis’s free tier, Knocket’s “free forever” — are all claims from their own launch pages. We confirmed they exist as stated; we could not confirm the results, and by this site’s convention they stay claims until third-party reviews show up.