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Why it takes you and an elephant the same amount of time to poop

2026-03-06 @ 20:19:26Points: 29Comments: 15

Ada 2022

2026-03-06 @ 20:03:48Points: 43Comments: 0

Launch HN: Palus Finance (YC W26): Better yields on idle cash for startups, SMBs

2026-03-06 @ 18:26:21Points: 21Comments: 32

https://palus.finance). We’re building a treasury management platform for startups and SMBs to earn higher yields with a high-yield bond portfolio.

We were funded by YC for a consumer-focused product for higher-yield savings. But when we joined YC and got our funding, we realized we needed the product for our own startup’s cash reserves, and other startups in the batch started telling us they wanted this too.

We realized that traditional startup treasury products do much the same thing: open a brokerage account, sweep your cash into a money market fund (MMF), and charge a management fee. No strategy involved. (There is actually one widely-advertised treasury product that differentiates on yield, but instead of an MMF it uses a mutual fund where your principal is at considerable risk – it had a 9% loss in 2022 that took years to recover.)

I come from a finance background, so this norm felt weird to me. The typical startup cashflow pattern is a large infusion from a raise covering 18–24 months of burn, drawn down gradually. That's a lot of capital sitting idle for a long time, where even a modest yield improvement compounds into real money.

MMFs are the lowest rung of what's available in fixed income. Yes, they’re very safe and liquid, but when you leave your whole treasury in one, you’re giving up yield to get same-day liquidity on cash you won’t touch for six months or more. Big companies have treasury teams that actively manage their holdings and invest in a range of safe assets to maximize yield. But those sophisticated bond portfolios were just never made accessible to startups. That’s what we’re building.

Our bond portfolio holds short-duration floating-rate agency mortgage-backed securities (MBS), which are an ideal, safe, high-yielding asset for long-term startup cash reserves under most circumstances.[1]

The bond portfolio is managed by Regan Capital, which runs MBSF, the largest floating-rate agency MBS ETF in the country. Right now we're using MBSF to generate yields for customers (you can see its historical returns, including dividends, here: https://totalrealreturns.com/n/USDOLLAR,MBSF). We're working with Regan to set up a dedicated account with the same strategy, which will let us reduce fees and give each startup direct ownership of the underlying securities. All assets are held with an SEC-licensed custodian.

Based on historical returns, we target 4.5–5% returns vs. roughly 3.5% from most money market funds.[2] Liquidity is typically available in 1-2 business days. We will charge a flat 0.25% annual fee on AUM, compared to the 0.15–0.60%, depending on balance, charged by other treasury providers.

We think that startup banking products themselves (Brex, Mercury, etc.) are genuinely good at what they do: payments, payroll, card management. The problem is the treasury product bundled with them, not the bank. So rather than building another neobank, we built Palus to connect to your existing bank account via Plaid. Our goal was to create the simplest possible UX for this product: two buttons and a giant number that goes up.

See here: https://www.youtube.com/watch?v=8Q_gwSqtnxM

We are live with early customers from within YC, and accepting new customers on a rolling basis; you can sign up at https://palus.finance/.

We'd love feedback from founders who've thought about idle cash management or people with a background in fixed-income and structured products. Happy to go deep in the comments.

[1] Agency MBS are pools of residential mortgages guaranteed by federal government agencies (Ginnie Mae, Fannie Mae, and Freddie Mac). It's a $9T market with the same government backing and AAA/AA+ rating as the Treasuries in a money market fund. No investor has ever lost money in agency MBS due to borrower default.

It's worth acknowledging that many people associate “mortgage-backed securities” with the 2008 financial crisis. But the assets that blew up in 2008 were private-label MBS, bundles of risky subprime mortgages without federal guarantees. Agency MBS holders suffered no credit losses during the crisis, and post-2008 underwriting standards became even stricter. If anything, 2008 was evidence for the safety of agency MBS, not against it.

The agency guarantee eliminates credit risk. Our short-duration, floating-rate strategy addresses the other main risk: price risk. Fixed-rate bonds lose value when rates rise, but floating-rate bonds reset their coupon based on the SOFR benchmark, protecting against interest rate movements.

[2] This comes from the historical spread between MMFs and floating-rate agency MBS; MMFs typically pay very close to SOFR, while the MBS pay SOFR + 1 to 1.5%. This means that if the Federal Reserve changes interest rates and SOFR moves, both asset types will move by about the same amount, and that 1-1.5% premium will remain.

This post is for educational purposes only and does not constitute financial, investment, or legal advice. Past performance does not guarantee future results. Yields and spreads referenced are approximate and based on historical data.

Tech employment now significantly worse than the 2008 or 2020 recessions

2026-03-06 @ 17:46:45Points: 426Comments: 285

Multifactor (YC F25) Is Hiring an Engineering Lead

2026-03-06 @ 17:00:38Points: 1

Supertoast tables

2026-03-06 @ 16:46:50Points: 42Comments: 5

Astra: An open-source observatory control software

2026-03-06 @ 16:14:30Points: 64Comments: 17

Show HN: Claude-replay – A video-like player for Claude Code sessions

2026-03-06 @ 15:57:27Points: 34Comments: 17

Claude Code already stores full session transcripts locally as JSONL files. Those logs contain everything: prompts, tool calls, thinking blocks, and timestamps.

I built a small CLI tool that converts those logs into an interactive HTML replay.

You can step through the session, jump through the timeline, expand tool calls, and inspect the full conversation.

The output is a single self-contained HTML file — no dependencies. You can email it, host it anywhere, embed it in a blog post, and it works on mobile.

Repo: https://github.com/es617/claude-replay

Example replay: https://es617.github.io/assets/demos/peripheral-uart-demo.ht...

Entomologists use a particle accelerator to image ants at scale

2026-03-06 @ 15:53:32Points: 64Comments: 6

Paul Brainerd, founder of Aldus PageMaker, has died

2026-03-06 @ 15:33:17Points: 102Comments: 21

A tool that removes censorship from open-weight LLMs

2026-03-06 @ 14:27:55Points: 52Comments: 23

Show HN: Moongate – Ultima Online server emulator in .NET 10 with Lua scripting

2026-03-06 @ 14:22:59Points: 186Comments: 109

What it does today: - Full packet layer for the classic UO client (login, movement, items, mobiles) - Lua scripting for item behaviors (double-click a potion, open a door — all defined in Lua, no C# recompile) - Spatial world partitioned into sectors with delta sync (only sends packets for new sectors when crossing boundaries) - Snapshot-based persistence with MessagePack - Source generators for automatic DI wiring, packet handler registration, and Lua module exposure - NativeAOT support — the server compiles to a single native binary - Embedded HTTP admin API + React management UI - Auto-generated doors from map statics (same algorithm as ModernUO/RunUO)

Tech stack: .NET 10, NativeAOT, NLua, MessagePack, DryIoc, Kestrel

What's missing: Combat, skills, weather integration, NPC AI. This is still early — the focus so far has been on getting the architecture right so adding those systems doesn't require rewiring everything.

Why not just use ModernUO/RunUO? Those are mature and battle-tested. I started this because I wanted to rethink the architecture from scratch: strict network/domain separation, event-driven game loop, no inheritance-heavy item hierarchies, and Lua for rapid iteration on game logic without recompiling.

GitHub: https://github.com/moongate-community/moongatev2

Good Bad ISPs

2026-03-06 @ 14:22:25Points: 78Comments: 25

CT Scans of Health Wearables

2026-03-06 @ 14:16:06Points: 148Comments: 31

Global warming has accelerated significantly

2026-03-06 @ 14:10:03Points: 818Comments: 799

Workers who love ‘synergizing paradigms’ might be bad at their jobs

2026-03-06 @ 13:30:54Points: 442Comments: 251

70k Books Found in Hidden Library in This Germany Home (2023)

2026-03-06 @ 12:20:40Points: 53Comments: 26

Hardening Firefox with Anthropic's Red Team

2026-03-06 @ 11:53:18Points: 357Comments: 107

LibreSprite – open-source pixel art editor

2026-03-06 @ 09:22:00Points: 215Comments: 73

We might all be AI engineers now

2026-03-06 @ 09:13:30Points: 128Comments: 180

It took four years until 2011’s iOS 5 gave everyone an emoji keyboard

2026-03-06 @ 08:13:28Points: 115Comments: 68

System76 on Age Verification Laws

2026-03-06 @ 04:12:26Points: 776Comments: 549

The Brand Age

2026-03-05 @ 17:44:10Points: 460Comments: 353

Analytic Fog Rendering with Volumetric Primitives (2025)

2026-03-05 @ 16:12:44Points: 72Comments: 3

Show HN: A trainable, modular electronic nose for industrial use

2026-03-03 @ 16:34:26Points: 23Comments: 8

I’m part of the team building Sniphi.

Sniphi is a modular digital nose that uses gas sensors and machine-learning models to convert volatile organic compound (VOC) data into a machine-readable signal that can be integrated into existing QA, monitoring, or automation systems. The system is currently in an R&D phase, but already exists as working hardware and software and is being tested in real environments.

The project grew out of earlier collaborations with university researchers on gas sensors and odor classification. What we kept running into was a gap between promising lab results and systems that could actually be deployed, integrated, and maintained in real production environments.

One of our core goals was to avoid building a single-purpose device. The same hardware and software stack can be trained for different use cases by changing the training data and models, rather than the physical setup. In that sense, we think of it as a “universal” electronic nose: one platform, multiple smell-based tasks.

Some design principles we optimized for:

- Composable architecture: sensor ingestion, ML inference, and analytics are decoupled and exposed via APIs/events

- Deployment-first thinking: designed for rollout in factories and warehouses, not just controlled lab setups

- Cloud-backed operations: model management, monitoring, updates run on Azure, which makes it easier to integrate with existing industrial IT setups

- Trainable across use cases: the same platform can be retrained for different classification or monitoring tasks without redesigning the hardware

One public demo we show is classifying different coffee aromas, but that’s just a convenient example. In practice, we’re exploring use cases such as:

- Quality control and process monitoring

- Early detection of contamination or spoilage

- Continuous monitoring in large storage environments (e.g. detecting parasite-related grain contamination in warehouses)

Because this is a hardware system, there’s no simple way to try it over the internet. To make it concrete, we’ve shared:

- A short end-to-end demo video showing the system in action (YouTube)

- A technical overview of the architecture and deployment model: https://sniphi.com/

At this stage, we’re especially interested in feedback and conversations with people who:

- Have deployed physical sensors at scale

- Have run into problems that smell data might help with

- Are curious about piloting or testing something like this in practice

We’re not fundraising here. We’re mainly trying to learn where this kind of sensing is genuinely useful and where it isn’t.

Happy to answer technical questions.

Xous security focused open source on 22nm custom silicon

2026-03-02 @ 19:22:23Points: 65Comments: 11

Payphone Go

2026-03-02 @ 16:45:43Points: 251Comments: 56

Open Camera is a FOSS Camera App for Android

2026-03-02 @ 15:46:51Points: 161Comments: 75

Triplet Superconductor

2026-03-02 @ 08:06:07Points: 21Comments: 5

Apache Otava

2026-03-01 @ 14:27:12Points: 28Comments: 1

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