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Canada says bridge tolls won't be split with U.S. until $6.4B of debt is repaid
M 3.9 Experimental Explosion – 147 Km ENE of Ponce Inlet, Florida
Shanay-Timpishka, a boiling hot river 700km from the nearest active volcano
The Human-in-the-Loop Is Tired
Alphabet shares fall on Gemini 3.5 Pro delay
Apple's Vision Pro Tool Contains Traces of Defunct Game Engine 'The Machinery'
Cyberattack at Nichirei leads to food shortages at eateries, stores
Battery packs: Let's talk about crates, baby
My car’s OTA update broke Android Auto
Show HN: Mojibake – a low-level Unicode library written in C
I've written Mojibake because I don't like the other Unicode libraries for Unicode support. It consists of only two amalgamation files: mojibake.h and mojibake.c. I've added all the most important Unicode algorithms, such as normalization, case conversion, segmentation, bidirectional text, collation, confusable, and others. I regularly test it in these OSes: Linux, macOS, FreeBSD, OpenBSD, NetBSD, and Windows 11. You can find a WASM demo on that site of all the public API functions and the docum
The Little Book of Reinforcement Learning
Russian kamikaze drone C++ reconstruction of onboard autonomy stack
Forced to use a Pin in Windows 11, some alternatives
CVE-2026-25089: FortiSandbox unauthenticated command injection added to CISA KEV
'Likweli': A new monkey species discovered in the Congo Basin
Ask HN: Who gets credits on big math questions solved by LLMs?
E.g. what if someone prompts an LLM to solve the Riemann hypothesis using this or that approach; and the model actually solves it. Who gets the prize?
WhatsApp Automation for Small Businesses in 2026: AI Replies, Lead Capture & Tiered Commissions
Your customers would rather message you on WhatsApp than fill in a contact form. That's fine at ten conversations a day. At a hundred, messages get missed, nobody knows which rep is on which deal, and at month-end somebody rebuilds the commission sheet by hand and gets it wrong. The usual answer is a $49–$499/month WhatsApp SaaS platform, priced per seat, with your customer data living in someone else's database. This post is the other answer: the same workflow on Google Sheets + Apps Script — and the one piece I see teams get wrong every single time, with the code to fix it. Where DIY WhatsApp automation actually breaks It isn't the messaging. Wiring a WhatsApp webhook into a sheet is a couple of hours of work, and I've written that build up separately — the webhook, the AI reply, and the lock that stops two reps chasing the same lead are all in Build a WhatsApp Sales Inbox in Google Sheets . I won't repeat it here. The part that breaks is the commission math . Someone writes =IF(revenue>10000, revenue*0.08, revenue*0.05) into a column, and three things kill it: A single sale spans two tiers — the formula charges the whole amount at one rate. The tiers change in July , and now every historical row recalculates at the new rate. A customer refunds in August on a sale from June, and nobody can unwind it without breaking the audit trail. So that's what this post builds: a tiered commission engine that survives rule changes and refunds. 1. Put the tiers in a table, never in a formula This is the whole trick. Make a Commission Rules tab, one row per rule: rule_id | rep_id | effective_from | effective_to | tier_1_cap | tier_1_pct | | | | | tier_2_cap | tier_2_pct | tier_3_pct --------+----------+----------------+--------------+------------+------------+----------- R1 | ALL | 2026-01-01 | | 10000 | 0.05 | | | | | 50000 | 0.08 | 0.10 R2 | rep_ayse | 2026-06-01 | | 10000 | 0.06 | | | | | 50000 | 0.09 | 0.12 rep_id is either a specific rep or ALL (the house default). Percenta