From Product Hunt

Today's board was basically your workflow: voice and DB clients for Claude Code and Codex, SSH and agent tooling, and a couple of well-built native Mac utilities.

Heard — Give Claude Code and Codex a voice A macOS voice layer that hooks into Claude Code, Codex, and Cursor and turns their output into spoken, context-aware summaries — full narration when your eyes are elsewhere, silence until something errors or needs a decision. When you run agents in parallel it summarizes at the project level so you hear where the work stands instead of five terminals talking over each other; pair your phone to approve steps by voice. Open source, free for personal use.
▲ 292 · heard.dev
FluentDB — The AI database client for Mac A native Swift DB client (Postgres, MySQL, SQLite, SQL Server) that's AI-first but privacy-sane: models see your schema, not your data, unless you approve, and every AI-generated query needs sign-off by default. Bring your own key — Anthropic, OpenAI, your Claude Code/Codex subscription, or local models via Ollama. A faster, non-Electron alternative worth a look next to TablePlus/Querious.
▲ 291 · fluentdb.ai
ShellMate — The SSH workspace you'll actually enjoy A native (not Electron) SSH workspace with tabs, split terminals, SFTP, snippets, session sharing, encrypted credentials, and optional AI assistance. Free forever for individuals without the AI features; paid tiers add collaboration and AI. macOS, Linux, and Windows — a modern take for anyone living in remote shells.
▲ 100 · shellmate.net
ADE — All your coding agents, synced everywhere Use the coding subscriptions you already pay for (Claude, Codex, etc.) inside one app that runs on web, desktop, terminal, and mobile, with chat history synced across all surfaces — start an agent on your laptop, continue from your phone, finish in the browser. Fully free and open source.
▲ 91 · ade-app.dev
Second Brain — Your AI memory, everywhere you work A desktop app for persistent memory across Claude, Cursor, and ChatGPT via MCP, where the memories live in your own Cloudflare account rather than a vendor's server — no terminal, no git, just download and sign in. Recall-by-meaning plus a self-building knowledge graph; the interesting bet is contradiction handling over time (which "fact" wins when March says Postgres and July says SQLite). A configurable, self-owned answer to the memory problem.
▲ 245 · thesecondbrain.dev
Speechius — The teleprompter that actually listens An ASR-based teleprompter that scrolls your script to match the words you actually say — speed up, slow down, go off-script, it keeps pace, no foot pedal or fixed speed to chase. Works live in Zoom/Meet/Teams/OBS and stays hidden on screen-share. Fully on-device, one-time purchase, macOS and Windows.
▲ 121 · speechius.com
Capsomnia — Caps Lock keeps your Mac awake, lid closed Turns the most-neglected key into a physical keep-awake switch (it already has a status light) so a long Claude Code run, SSH session, build, or download survives closing the lid. Reassign the shortcut if Caps Lock is taken. Free, open source, signed and notarized, no accounts or telemetry — just mind the thermals with the vents shut.
▲ 167 · capsomnia.com
Islet — iPhone's Dynamic Island, on your Mac's notch Unlike notch utilities that just draw a shape over the cutout, Islet behaves like Dynamic Island: native spring-physics expand/collapse, live volume/brightness HUDs, music controls, one-tap audio-output switching, plus calendar, weather, and a drop-anywhere file tray. Built in Swift + AppKit, ~60MB RAM. Worth a look if you want more life out of the notch than NotchNook gives you; free core, one-time Pro.
▲ 126 · lippi304.xyz
ClipStudios.AI — 15+ AI video models, one subscription Kling, Veo 3.1, Seedance, Runway, and Wan behind a single credit-based subscription (credits roll over), with Script/Voice/Video studios bundled in. Every clip is C2PA-signed at creation and runs on EU infrastructure. Subscription model rather than per-API pricing, from €20/mo — the kind of "many generations for one flat fee" setup you tend to prefer.
▲ 38 · clipstudios.ai
From Reddit

The model-race noise (Opus 5, Kimi/GLM, the open-weights fight) mostly lived on Twitter today — see below. On Reddit the useful signal was local-inference plumbing and a couple of sharp practitioner findings.

A chat-template trap silently kills Qwen3's thinking mode when fine-tuning Qwen3's standard chat template renders non-thinking assistant turns with an empty <think> block. Train answer-only data through that template and the model learns to emit empty think blocks — losing thinking mode entirely — while loss and evals look normal. On GSM8K, valid reasoning blocks appeared in 96.5% of outputs when targets omitted think tags, 58.2% with empty blocks included, and 100% when those empty blocks were excluded from the training loss. A subtle, expensive gotcha for anyone fine-tuning reasoning models locally.
PrismML shrinks Qwen 27B from ~54GB to under 4GB — and Apple is reportedly evaluating it Following its Bonsai work, PrismML (the Khosla-backed Caltech spinout) publicly released compressed models on July 24 that keep all 27B parameters while dropping each weight to one or three possible values, targeting iPhone 15+. Claims: 6–8× faster generation, 3–6× lower energy, 10–15× less memory. The new wrinkle is that Apple is reportedly in early talks to evaluate it. Extreme-quant claims warrant the usual skepticism, but the on-device numbers are concrete.

Quick hit.

MI50 power-curve tests: decode is bandwidth-bound, not compute-bound 100W delivers 97.5% of 190W generation speed; at 50W you keep 70% of peak for 26% of the power (3.6× better tokens/watt). Prompt processing degrades faster. Useful data for power-limiting a multi-GPU rig.
From Reddit

With Krea 2 now open-sourced, the community turned to the "how" — hardware-aware quantization, low-VRAM training, and reproducible prompt engineering.

Krea 2 SVDQuant — native INT8 / W4A4 for older NVIDIA GPUs Most "quantize Krea 2" advice online is FP8, which only helps Ada/Hopper/Blackwell — on RTX 20/30-series FP8 is cast back to bf16 and is actually slower. This targets INT8 and W4A4 tensor cores (Turing+) instead, delivering ~2× faster inference (10.1s vs 21.3s/image on a 3090) at a third smaller than FP8, with no calibration dataset. Weights and benchmarks on Hugging Face.
Aozora — a free GUI trainer that fine-tunes SDXL/Anima under 12GB VRAM A year-long solo project that fine-tunes ~80–90% of the full SDXL UNet in 11.8GB (~1.55s/iter) and 100% of Anima at 1152×1152 in ~11.4GB, after the author rewrote the optimizer from the original papers to get SDXL stable in 12GB. The GUI exposes the knobs that matter — LR curve, timestep distribution, loss weighting, layer targeting — rather than hiding them.
Wan SCAIL-2 Segmentation Control — a local Kling-style motion-control workflow An update to a ComfyUI segmentation-control workflow for Wan video: a new "Auto Extend" sampler that removes color shifts and folds in Color Match automatically, input-video interpolation for smoother motion, and a SCAIL-2 Identity Tracker node that lets you assign colors per subject instead of fiddling with object indices. It surfaced as the community's answer to "is there a local alternative to Kling 3.0 Motion Control?"

Quick hit.

awesome-krea-2 — 476 prompts with seeds, plus 64 documented failures A rigorous Krea 2 Turbo resource that publishes the part nobody does: why prompts fail (text it can't invent, repeatable Korean failures, counting/hands limits), with ComfyUI wildcards. MIT, ~$4.54 of compute.
From Reddit

A strong open-source haul: CLI safety nets, self-hosted infra, and agent-workflow glue.

pocket-id — a simple self-hosted OIDC provider built around passkeys Lightweight, Docker-deployable SSO for a homelab, with passkeys as the primary auth. The maintainers are running a $1,000 bug bounty to prove it out ("try to break it"), which is a good sign for something you'd put in front of your services.
deja — zsh autosuggestions that predict your next command Instead of just completing the current line, it predicts the next command from your history via a Go daemon + local SQLite in under 1ms — no LLM, no sync. Squarely a CLI power-user tool; note the top comment's HIST_IGNORE_SPACE privacy caveat worth checking before you wire it in.
undo — revert what the last shell command did to your filesystem Snapshots your filesystem before a command runs so you can roll back whatever it touched — the terminal safety net you wish existed the last time a script wrote where it shouldn't. Open source.
hummingbird — a zero-dependency runtime for massive MoE models on consumer hardware Makes big open-weight Mixture-of-Experts models practical by intelligently tiering weights across SSD/RAM/VRAM, with a one-line installer for Linux and macOS. Apache-2.0 — a lighter-weight sibling to LM Studio/Ollama for the very large models filling up your local stack.
Prismedia — an all-in-one self-hosted media library with a Jellyfin-compatible API Postgres + ffmpeg + .NET + Svelte packed into a single Docker image, exposing a Jellyfin-compatible API so existing clients (Infuse, Finamp, Symfonium) can stream from it. Interesting to eye against your current Jellyfin + *arr setup, even if just as a lighter deployment target.
agent-resume — pin Claude Code and Codex sessions to their terminal panes Binds each agent session to a specific terminal pane and restores the right session in the right pane after a reboot. Small, but exactly the kind of friction that adds up when you're juggling several agents across panes.

Quick hit.

Gloss — intelligent text expansion for macOS System-wide expansion for text, emoji, dates, and scripts, with a new on-device AI integration — a native, one-time-priced TextExpander alternative if you've never settled on a dedicated expander.
From Twitter

One story ate the timeline: nearly the entire industry signed a letter against restricting open-weight models — and Anthropic didn't. Around it, open models showed up in real workflows, Opus 5 became a daily driver, the Claude Code skill ecosystem matured, and security researchers dropped fresh RCEs.

A few standalone tweets worth your time.