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Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
1•Willingham•6m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•7m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•12m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
1•mooreds•12m ago•1 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•14m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

1•pinkmuffinere•15m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•19m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•21m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

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How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
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Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
3•archb•24m ago•0 comments

From Human Thought to Machine Coordination

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1•walterbell•24m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•25m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
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https://github.com/2015xli/jqassistant-graph-rag
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Python Only Has One Real Competitor

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Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•33m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•34m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
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DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
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Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
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Oddly Simple GUI Programs

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The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
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Interactive Unboxing of J Dilla's Donuts

https://donuts20.vercel.app
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OneCourt helps blind and low-vision fans to track Super Bowl live

https://www.dezeen.com/2026/02/06/onecourt-tactile-device-super-bowl-blind-low-vision-fans/
1•gaws•42m ago•0 comments

Rudolf Vrba

https://en.wikipedia.org/wiki/Rudolf_Vrba
1•mooreds•42m ago•0 comments

Autism Incidence in Girls and Boys May Be Nearly Equal, Study Suggests

https://www.medpagetoday.com/neurology/autism/119747
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Wellness Hotels Discovery Application

https://aurio.place/
1•cherrylinedev•44m ago•1 comments

NASA delays moon rocket launch by a month after fuel leaks during test

https://www.theguardian.com/science/2026/feb/03/nasa-delays-moon-rocket-launch-month-fuel-leaks-a...
2•mooreds•44m ago•0 comments
Open in hackernews

Show HN: I built a Bitcoin DCA bot – here's why

6•yeahoffline•4mo ago
I started DCA’ing into BTC many years ago. I kept missing buys, buying emotionally into pumps, and forgetting during chop. So I wrote a simple script that hit an exchange API once a day with a fixed amount. Friends asked to use it, so I generalized it and added a DB to manage multiple users.

Why I didn’t use existing tools: Most options I tried were either locked to one exchange or did fixed-amount DCA with naive execution. I wanted multi-exchange support and a way to scale buys during dips and preserve capital during rips. I also kept running into inconsistent API rate limits and small-order quirks, which made me prefer building.

Why turn it into a service: At first it was just JSON configs on my machine. More friends kept joining. I added a basic self-serve UI so I wasn’t SSH’ing to change params. Hosting costs stayed small, but my time did not. At that point it made sense to package it.

“multiplier DCA”: Instead of buying a fixed amount on a schedule, the bot computes a multiplier in the range 0.1–3× and scales the order size. During dips it buys more; during euphoria it scales back or skips. Inputs include standard indicators plus some AI and social context; guardrails cap the multiplier and enforce cool-downs so you don’t blow a week’s budget in the first leg of a dump. The goal isn’t to “time the bottom,” it’s to shift size a bit toward better prices without starving future buys.

Results so far (caveats included): On a public, static backtest over the last year, the multiplier approach accumulated ~30% more BTC than fixed DCA, with slightly higher total spend. Backtests aren’t reality; live trading taught me to add pacing and cool-downs.

Tech stack and latency: Watcher → queue → workers. Node.js services with AWS DynamoDB/Aurora for state, SQS for queues, Lambda workers for execution. Typical timings: ~20 ms to scan, ~10 ms to enqueue, ~100 ms–2 s for the trade depending on the exchange. We didn’t optimize for HFT; this is DCA, not microsecond arbitrage.

How long it took: The first script is ~6 years old. The multiplier engine grew out of a friend’s suggestion to size into dips. I iterated for years, added a UI this year, and opened it to more friends.

https://dca.bot

I’m here for feedback and AMA—architecture critiques, multiplier design, failure modes, exchange abstractions, whatever’s useful.

Comments

wordglyph•4mo ago
This is excellent! Do you know where to find a free API to get options data for BTC?
yeahoffline•4mo ago
Options data fore free you get directly from each exchange.

There are aggregators like "glassnode" but they charge you.

wordglyph•4mo ago
Thanks! Which exchange would you recommend for that?
yeahoffline•4mo ago
Start with binance or kraken?
timbowhite•4mo ago
Pretty neat.

How would the multiplier DCA act during a multi-month "crypto winter"?

yeahoffline•4mo ago
It would try to snipe the bottom, slowly scaling into bigger order sizes