Bulkmark
Transform your Twitter/X Bookmarks into real knowledge
Bulkmark launched on May 23, 2026 with 151 votes, #179 of 20,539 launches that month and more than 95% of that year's launches.
What it does
Stop losing saved tweets. Bulkmark organizes your X bookmarks with AI, builds shareable lists, and delivers a weekly email digest.
Stop losing saved tweets. Bulkmark auto-tags your X bookmarks with AI, builds shareable lists, and delivers a weekly email digest. Free 7-day trial.
Your saved tweets, auto-tagged, organized into lists, and summarized in a digest that arrives on your schedule. You save tweets all day long. But X/Twitter buries them in a single unsorted list you will never scroll back through. No reminders, no search, no tags. X/Twitter treats your bookmarks as a write-only database. You don’t have 30 minutes to re-read old tweets. A daily digest takes less time than making coffee. From your first sync to your weekly digest. Watch how thousands of saved tweets become a tidy library you actually revisit. Link your X account once. New bookmarks sync automatically and get tagged by topic (AI, Design, Dev, Business) before you even open the app. Tokenization…from bulkmark.io
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AI Easy Bookmarks2023 · valerianotion.gumroad.com · ▲229Your ultimate AI powered bookmark organization solution
SaveIt.now2025 · saveit.now · ▲163Hey HN! I built SaveIt.now after drowning in 1,211 bookmarks I could never find. So I created a bookmark manager without folders or complex organization - just let the tool organize everything for you and use AI to search! Try it free, just need to sign in P.S. iOS app is coming :)

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Source: Product Hunt launch ↗
Launched alongside, May 2026
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Dev tools · May 2026 · kilo.ai



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…
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