High-performance email infrastructure for modern teams. Secure by design, managed for scale, built for deliverability.

India
Joined January 2025
This. This is what an indie needs not a grazzilion of features..
Bro forgot most of us don't need all 200+ features 😅 My indie SaaS newsletter needs: - Send emails - Simple editor - Unsubscribe - SPF/DKIM/DMARC - Open + click rates 5 features. $0 extra for Beehiiv needed.
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I guess MailCheap is not that cheap. Ahh the irony. What matters most for indie devs/vibe coders is pay wayy less than $19 for an email plane and still have flexibility for expanding as their user base grows. Why pay for enormous email capacity when you have just a couple of users. Not all of us are blessed like Marc himself. @sendwithxmit (Transmit) bridges that gap and have a $2 plan for the transactional route. Or you can bring your own key with AWS SES with the free plan with all agentic capabilities.
I vibe-coded beehiiv, and it's 83% cheaper. ✨✨ Introducing MailCheap.ai ✨✨ Everything you need to run a newsletter... ✍️ Editor 📅 Scheduling 📈 Stats 🌐 A website for every issue 🛡️ Deliverability guardrails 🔗 Send from your own domain (and keep your reputation) And it's not a dinosaur tool: + It's open source; you can run it for free + It's agentic; everything in the UI is available to your AI Import from beehiiv, Substack, or Mailchimp in 2 minutes. You pay for the emails you send, not for dormant subscribers. From $19/month. Oh, and no "Powered By" badge at the bottom of your emails.
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Interactive web experiences, generated on-device. Edge0 can turn natural-language requirements into frontend structure, logic, and interactions, then iterate on the result locally. From the first prototype to the final refinement, the workflow stays on-device.
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Transmit retweeted
None of the video gen models do a real CRT terminal animation look. So I trained my own with @fal. CRT-anim : open-source LoRA for LTX-2.3 22B. Runs on fal + ComfyUI.
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Developed from scratch in just 4 weeks, on a budget of roughly $1,000 in credits, I took a 124 year old horror story that's already been adapted into 20+ films and reimagined it entirely using a single Al platform: @invideoOfficial Based on W.W. Jacobs' 1902 horror story, The Monkey Paw is a cautionary tale about a cursed artefact that grants three wishes, but with terrible consequences. I reworked the tale to become part of a larger Lovecraftian mythos I've been creating for over 20 years, set in the fictional town of Brightburn, Massachusetts. I set out to achieve three goals: 1. Stay as faithful as possible to the original story 2. Deliver a strong emotional arc through believable AI performances 3. Push the medium as much as possible to emulate a real film breaking the AI illusion You can be the judge of what worked and what didn’t.
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Look at Sam and Dario! Almost holding hands.
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Every BD SPOT part ripped. Wait till you see the circuit boards and code flow. Get it translated guys, dropping the link of the pdf below.
Engineers in robotics, if you’re interested, this is a 200 page PDF of a Boston Dynamics Spot teardown. It’s in Chinese but I’m sure you can find a way to translate it (hint: ChatGPT)
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We take this very seriously.
We banned a spammer on Transmit today at 6 AM. Here's the story. A new user signed up and grabbed our most affordable plan ($2/mo). Sounds normal, right? Except when I checked @dodopayments, this person had been trying for days with different cards across different plans, including the $79 tier. Dodo caught and denied most of the attempts (thank you), but one $2 charge slipped through. Within minutes of getting in, they added a domain and got it verified. I make sure all platform emails come to me as BCC so I know what's happening in real time. The verified domain was a red flag. I opened the URL to check and @airaborannern blocked it immediately as a dangerous site. That was my cue. I cancelled their sub through Dodo, which triggered webhooks that updated their status and killed sending before they got a single email out. Email is a tough business. One bad actor can tank the reputation of your entire sending infrastructure, so speed matters here. While we're still early and onboarding customers, I'm now adding a domain approval gate before sending is enabled, so this can't happen again. A couple of product feedback items: @clerk - I wanted to ban this user at the auth level. Found them in the dashboard but the Ban button is locked to Pro accounts. It would be great to have this on the free tier, especially given how developer-friendly you've been with the recent limit increases. @dodopayments - would love a way to block a user's email on the dashboard so they can't even initiate checkout. PS - the spammer actually emailed us saying they can't send emails. Already refunded and moved on. Thanks @Airtel_Presence for the browser-level block that tipped me off. We're building Transmit (xmit.sh) - email delivery infrastructure that takes deliverability seriously
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Pretty insane to see an email company flexing about its npm downloads rather than the emails they sent. Its just a curl call, why do you even need an sdk? Yeah that's borning, Unlike Stripe showing their numbers as a GDP.
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Biggest irony playing out live. SaaS giants beat earnings hard. Poured billions into AI buys and products. Stocks still get crushed. $500B wiped in a day. Market betting AI agents kill the per-seat model. One prompt replaces months of dev. Klarna already ditched Salesforce for in-house AI. Hardware prints money. Software bleeds. SaaS builders, is this apocalypse or just the next evolution? 👀
This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.
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Google expands Shopping promotion rules ahead of 2026. Now allows subscription promos, BOGO terms, and Brazil only payment method offers. Add Subscribe and save or forms_of_payment in Merchant Center to boost visibility and reduce disapprovals
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Google launches Universal Commerce Protocol for agent-led shopping. UCP could reshape AI shopping flows in Search and Gemini with agent checkout and Business Agent. Watch for ad and CRO impacts from agent led discovery and new checkout paths
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Google launches Universal Commerce Protocol in New tech and tools for retailers to succeed in an agentic shopping era. UCP will power AI Mode checkout in Search and Gemini. Big signal for agent led shopping and ads integration across retail systems
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Top 10 Google Ads mistakes to avoid in 2026 nails it. Keep exact match, align conversion settings, avoid auto apply, question recs, do not trust ad strength. Broad match needs tCPA or tROAS. Strong list from Brad Geddes on SEL
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Google AI Overviews are tested and removed based on engagement. If users ignore them, they vanish. Optimize for query types where engagement is proven and track shifts as Google generalizes to similar intents
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