
📚 Hacker News Top Nonfiction 🔬 | BiteRead
Browse AI-curated book summaries from Hacker News recommendations for engineers and tech professionals.
xxbondsxx · HN
Hacker News book recs as study guides
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Browse AI-curated book summaries from Hacker News recommendations for engineers and tech professionals.
xxbondsxx · HN
Hacker News book recs as study guides

Practice investing and trading risk-free using lessons, games, and a virtual coin simulator.
@TradeWize1 · X
Building TradeWize — a risk-free platform to learn investing and trading. Start free on the investing track, then level up to charts, options and futures in a virtual-coin simulator. No real money involved. →

Track copy trading strategies and performance statistics from influencers
@richman999x · X
我的自动跟单交易系统的网站上线了: 主要是用来记录和观察跟单的博主策略交易情况统计 现在已经在跑的主要是: 大镖客、三马哥、舒琴 另外新增了币圈所长、峰哥、颜驰,但这几个目前还在数据采集和准确率验证阶段,等稳定后才会开启模拟跟单。 网站现在大概有几个功能: 博主的交易记录分析(策略、复盘指标、资金曲线、交易明细等)、图表分析、博主维度表现对比,还有我自己的实盘交易数据。 其中有些功能如图表分析等,是参考了 @woaitaoershi 飞行员老师的那个顶级交易员实盘网站的思路,确实挺实用的。 说实话,我也不知道这玩意最后到底有没有用,先搞出来试试看吧。 最开始做它,就是想偷懒,搞个小账户自动跟单跑一跑,顺便积累数据,看看这些博主的策略到底谁更稳定、谁适合趋势、谁容易在震荡里翻车。 谁知道越做功能越多,越复杂了,前前后后一个多月了,现在 BUG 还不少,老是漏单,数据也还不够多,需要继续验证,所以先别把它当成熟产品,就当一个公开观察记录。 如果你觉得这个东西有点意思,或者对你有帮助,可以点个赞支持一下。 也欢迎留言推荐你觉得值得长期观察的交易博主,我后面可以慢慢加进去。 #自动交易 #跟单系统 #交易复盘 #AI交易 #程序化交易 #交易系统

AI-powered platform unifying coding assistance, trading tools, and team collaboration features.
@ThrillStack · X

Browse and discover Substacks that were submitted to Hacker News.
cartucho1 · HN
I made an HN clone that lists only Substacks posted here. - Why? Over the years, I've discovered some great blogs here, so I thought it would be nice to have a filter for them. - Why only Substacks then and not blogs more generally? Because it's easy to query for "substack.com" in the public HN Algolia API (see below). Plus, hnblogs was already taken :) - What about substacks on custom domains then? At the bottom of the page there is a form to submit a custom domain. The site attempts to auto-validate that it is a Substack. If that fails, it is marked for manual review (which I'll do every once in a while). Approved ones will be included in the results. - How? I use HN's Algolia API to fetch substack stories by searching for "substack.com" in the url. I do this via a CloudFlare worker that has 3 separate cron triggers: (1) fetches new stories every 10 minutes and saves them in a KV store. (2) runs 2 minutes after the first, computes hot stories from new ones by simulating HN's scor

AI tool that automates SEO content creation to grow organic traffic.
@st0yanov · X

Browse Hacker News with preview images, search, filters, themes, and comments.
u/spunch · Reddit
Visual-HN – hcker.news with preview pictures Hello r/SideProjects community. I don't really know how to do this so I'll just say, I'm a hobbyist and I'm just messing around. So I've been messing around with a proxy + Chrome extension HN-clone site that injects preview images into the hcker.news feed and add a few visual tweaks like ranks and trend arrows, trying to make HN a little less text-only. The hard part was probably getting preview images for sites that aggressively block scrapers

Analyze Hacker News profiles with your own LLM API key, fully client-side.
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma

Write, execute, and learn code in Python, Java, JavaScript, C++, Go, and Rust.
@francis7_a · X
Building - learning tools for devs and student. happy to connect.

Analyze GitHub repositories to discover and score paid work and contribution opportunities.
@bashops_dev · X
Building BashOps Radar—repository intelligence for developers. Helping developers identify contribution opportunities that can lead to contracts, paid sprints, and long-term work.

Calculators and planning tools for Rust game players to use during gameplay wipes.
Rust Calculator — Stream 游戏 Rust 工具网站

Analyze your crypto portfolio risk and discover trading opportunities using on-chain data.
@daweifs · X
最近我用 @dappOS_com 的 AI Coding 做了一个交易助手,整个过程大概十分钟。实际体验完以后,我发现它能做的并不只是交易工具,AI 伴侣这类产品同样可以快速落地。 先放一下我做的成品,连钱包就能体验: 🔗 币圈本来就不缺工具。 看持仓、查聪明钱、盯新池子、看流动性,每一项都有专业平台。但我自己用下来,最麻烦的从来不是找不到数据,而是数据散在不同地方。 平时判断一个币要不要继续拿,我得先看仓位占比,再查流动性、大户地址和近期资金异动。 想找新机会,又要换到新池子监控、安全检测和交易路径工具。 开了一堆页面,最后还是要自己把信息重新拼一遍。 所以这次我没有继续找一个功能更多的平台,而是把自己的交易习惯直接告诉 dappOS AI Coding: 帮我做一个能连接钱包,同时完成持仓风险检查和新机会筛选的交易助手。 十分钟左右,一个能直接使用的网站就生成出来了。 目前我觉得比较实用的是两个功能。 第一个是持仓风险检查 连接钱包后,它会把资产集中度、近期活动、代币流动性和大户变化放在同一个页面里。 和普通钱包看板相比,它不只是告诉我持有什么,而是让我先判断: 哪个仓位占比过高; 哪些资产的流动性需要注意; 哪个币近期出现了异常变化; 今天最应该先检查哪个仓位。 以前这些信息要分散到几个平台查看,现在可以先在一个页面里完成初筛。 第二个是新机会筛选 很多新币扫描器的问题不是没有信息,而是信息太多。 一天几十上百个新池子、资金异动和聪明钱提醒,真正值得继续研究的可能只有几个。推送看多了,反而容易被情绪带着走。 我做的这个工具会根据流动性、锁仓情况、资金变化和风险信息,先把候选项目整理出来。 它不会替我决定买什么,也不会承诺收益,但能过滤掉一部分噪音,让我把注意力放在少数值得继续研究的目标上。 对我来说,dappOS AI Coding 和普通交易工具最大的区别,不是多了一个风险评分,也不是数据一定比专业平台更多。 而是我可以让产品按照自己的交易流程工作。 普通工具的页面、指标和操作路径都是固定的,用户只能慢慢适应;使用 AI Coding,我可以直接告诉它自己先看什么、后看什么、哪些数据需要放在一起,以及最终希望解决什么问题。 工具开始适应人,而不是人去适应工具。 这可能也是现在 OKX 推进 https://t.