MicroTarget
Privacy-first targeting for the post-IDFA world
What it does
Unlike legacy CDPs with delays ranging from minutes to hours, MicroTarget reacts in seconds. We use On-Device ML so data never leaves the phone, solving post-IDFA signal loss and guaranteeing privacy. Our Fusion Layer evaluates intent and behavior simultaneously for 4-7x more stable targeting. Plus, our transparent architecture explains exactly why a campaign triggered.
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A lot has changed since the shutdown of pivotal tracker was discussed here. As there were no viable alternatives it seems every month there was a new project popping up. With the last month before the sunsetting approaching, it starts to get exciting who will make it in time, who stays in the race and what the differentiating features of the projects will be.
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I’d originally launched my app: Private LLM[1][2] on HN around 10 months ago, with a single RedPajama Chat 3B model. The app has come a long way since then. About a month ago, I added support for 4-bit OmniQuant quantized Mixtral 8x7B Instruct model, and it seems to outperform Q4 models at inference speed and Q8 models at text generation quality, while consuming only about 24GB of RAM[3] at 8k context length. The trick is: a) to use a better quantization algorithm and b) to use unquantized embeddings and the MoE gates (the overhead is quite small). Other notable features include many more…
More growth this month
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 30d ago · astrapixels.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com