Kasbly

@briandonatiello Exactly. Summarization loses context that humans naturally pick up on — tone shifts, objections, what convinced them. Full history + AI routing means every handoff continues the conversation, not restarts it. That difference = 30% vs 70% conversion.

@kasblycom Yep. The best handoffs include full conversation history, not just a summary.

How we're building Kasbly (technical thread): Most AI sales tools look like this: Chat widget → Human handoff → CRM update What we built looks like this: WhatsApp/IG/Email/SMS ↓ AI receives message ↓ Qualifies + classifies intent ↓ Routes to owner + triggers sequence ↓ CRM updated automatically ↓ Next action scheduled ↓ State persists across ALL channels The key insight: state persists across channels. When a lead moves from IG DM to WhatsApp to email, the system remembers everything — stage, context, owner, last action. Not just a chatbot. An AI operating system for your sales pipeline. Building this in staging.

100%. Qualification gets you to the door, but the real win is routing with full context. If handoff loses history (channel, intent, previous interactions), you restart the relationship. That's where 80% of deals drop. The qualification was pointless if routing scatters the context.

@kasblycom The handoff is where most AI tools fail. Routing to the right person with full context matters more than the qualification itself.

@heynavtoor Interesting. The bottleneck we see is connecting lead discovery to actual sales conversations. Is Claw handling the conversational layer, or stopping at lead intel?

🚨 BREAKING: Someone just turned OpenClaw into an autonomous sales agent It's called Claw GTM. Paste your website and it builds your outbound pipeline automatically. I tried it this morning. From one URL, it: → mapped my ideal customer profile → found 47 companies with buying signals → researched each account automatically → generated personalized email + LinkedIn outreach No prospecting. No spreadsheets. No generic outreach. Here's why this is interesting: → most outbound tools rely on static lead lists → Claw scans millions of job posts for buying signals → it surfaces companies actively hiring for the problem you solve Meaning you're reaching companies already investing in your category. Here's the wildest part: It starts with just your website URL. Claw reads your product, pricing, and positioning and builds your entire GTM strategy automatically. Paste URL → get your first outbound pipeline in about a minute. Link in the comments

@Zephyr_hg Love this. Most teams lose deals at the handoff between AI response and human follow-up. How do you handle the escalation when a customer needs more than the bot can answer?

My WhatsApp responds to customers 24/7 now. Built an AI assistant that handles questions, provides support, and responds in my exact brand voice. Closed 3 deals while I was asleep last night. No more missed messages or frantic copy-paste responses. Customers get instant help and I wake up to satisfied clients. Comment "CHAT" and I'll DM it to you (must be following)

@NnekaEwaluOps @HubSpot This is the exact problem we're building for. The unlock: when lead stage + sync + routing happen across ALL channels (WhatsApp, email, Slack, Instagram, SMS) through one brain. No more fragmentation. DM me - we're looking for operators like you.

@kasblycom @HubSpot As an SDR who also lives in sales ops, this is exactly the kind of B2B product I want to help sell and implement. If you ever look for someone who can book meetings and help wire this into real workflows, I’d love to be considered for the team.

The WhatsApp sales problem no one talks about: You get a lead from your landing page. They message on WhatsApp. You reply in 2 minutes. Then... nothing. You follow up in 24h. No response. The problem: you're manually tracking conversation stage across 10+ tools. By the time you piece it together, the lead has moved on. AI automation handles this — but most WhatsApp bots just deflect. They don't sell. What's your biggest WhatsApp sales frustration? 🧵

@mikefutia The design + frontend wins on first touch, but the real unlock is backend: inventory sync, order routing, and context from all channels (email, SMS, WhatsApp). Pretty forms + dumb routing = leaked leads. AI routing across channels changes the game.

Claude Cowork just got computer use and it's absolutely insane 🤯 Schedule a task once → Claude opens your browser, logs into Meta Ads Manager, pulls your performance data, analyzes your creatives, and saves a finished brief to your computer. Every morning, while you sleep. All inside Claude Cowork. Perfect for DTC brands and agencies who are still manually pulling ad reports, screenshotting competitor ads, and copy-pasting data between tools every week. If you're running Meta Ads and your weekly workflow looks like this — log into Ads Manager, export a CSV, open it in a spreadsheet, try to figure out why CPAs spiked, screenshot competitor ads from the Ad Library, paste everything into a doc, write a brief from scratch ... Claude Cowork now does the entire thing without you touching your keyboard: → Opens Chrome and navigates to your Meta Ads Manager → Pulls performance data across every active creative → Opens the Meta Ad Library and checks 5 competitors for new ads → Analyzes hook performance, fatigue signals, and winning angles → Writes a creative brief in your brand voice → Saves everything as real files directly to your computer → Runs on a schedule — daily, weekly, whatever you set No CSV exports. No copy-pasting between tools. No sitting at your desk pulling reports. What you get: → A daily performance snapshot without opening Ads Manager → Competitor ad monitoring on autopilot → Creative fatigue signals before CPAs blow up → A data-backed brief your creative team can execute immediately → All of it running while you're getting coffee, at the gym, or on your phone Send a task from your phone. Claude picks it up on your desktop. You get the finished deliverable. I put together a full playbook with the exact setup, the prompts, the scheduled task configuration, and 5 DTC workflows that use computer use. Want it for free? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)

This is exactly what Kasbly automates: positive reply → within 10 minutes: WhatsApp/email/SMS routed to the right owner, follow-up sequence triggered, CRM updated, next action scheduled. The human closes the deal. The follow-up machinery runs automatically — no inbox diving, no 'I'll reply tomorrow.'

ran a campaign for a client the other month that changed how i think about cold email forever he was an ecom marketing agency good service real case studies decent offer sending 3,000 emails a day and booking maybe 4 calls a week not terrible but not enough to scale past $15k/month i looked at his setup and found the problem in about 6 minutes it wasnt his copy, offer or volume it was what happened AFTER someone replied he was getting 40-50 positive replies a week converting 3 of them into booked calls thats a 7% conversion rate on warm leads people who already said yes to his email were ghosting his follow up i asked how long it takes him to reply to a positive lead "usually same day. sometimes next morning" thats the whole problem we plugged in an appointment setter who calls every positive reply within 10 minutes of it landing not 10 hours not same day 10 minutes the phone rings while theyre still thinking about the email they just replied to his conversion rate on positive replies went from 7% to 68% overnight from just a human being on the phone before the prospect has time to forget why they said yes in 15 days he went from 4 calls a week to 10 calls in the first week alone closed $15,000 in contracted revenue in 14 days from the same campaign that was barely keeping him alive the gap between agencies at $15k/month and agencies at $50k/month is simply the 10 minutes between a positive reply and a ringing phone most people are sitting on a pile of warm leads slowly going cold in their inbox while they "craft the perfect follow up email" your follow up email is not the play a phone call 10 minutes after they say yes is

@talbygrapevine @gregisenberg Exactly. But the moat compounds when the filter *triggers action* — not just analysis. Qualify → route → follow up → persist state. That's the closed loop that turns 'why' data into revenue.

@kasblycom @gregisenberg 100 ads in 30 minutes is just scaling the noise. filtering for the 'why' is the only moat left.

how to use claude code to launch 100+ fb ads in 30 mins

Post-it notes is the default CRM in more industries than people think. The fix isn’t ‘AI chat’ — it’s: • one system of record • automatic logging (calls/email/WhatsApp) • owner routing + follow-up timers So any location can pick up where the last left off. (We’re building this in staging.)

This is the silent killer in dealer sales: context loss. Fix is unsexy but huge: one customer record + every touch logged (calls/email/WhatsApp) + ownership + follow-up timers. Then any location can pick up the convo without the re-intro. We’re building this kind of omnichannel ‘one brain’ (still in staging).

I recently found out the Bobcat dealer near us (who has 12 locations) doesn’t use a CRM. Nothing. No system. Just post-it notes and crossed fingers. Every time I talk to sales, I have to reintroduce myself, explain our business, and walk them through what we’re looking to buy… again. Finally I asked, “What CRM are you guys using?” They said, “We don’t have one.” You’re telling me a multi-billion dollar brand can’t track a customer looking to spend $150k? Imagine managing a fleet of 100 machines, calling a different location, and being treated like a first-time buyer with zero context. No notes. No sales process. Just vibes. Insane.

@talbygrapevine @gregisenberg 100%. Same pattern: pipeline state + SLA timers. Stage=final_round → 48h no-response trigger → nudge on the right channel (email/SMS/LinkedIn) + auto-log to the record + escalate to a human if still silent. The 'filter' is just event-driven follow-up.

@kasblycom @gregisenberg now build one that nudges a recruiter who goes quiet for 48 hours after a final round. you'd be a billionaire by tuesday.

@architjn This is gold. The unlock: when that AI also reads customer context from email, SMS, previous chats—so each reply is smarter. Same 10sec speed, way higher conversion because the AI knows what customer's actually looking for.

Most indie founders waste leads because they don’t auto-reply fast enough. Fix is simple: Form ➝ n8n AI drafts custom reply WhatsApp or Email = sent in <10 sec Feels personal. Converts better. You don't need a sales team - just good automation.

Great point on using AI to surface objections before writing. But here's the other half of the problem: after the prospect reads your page and goes quiet for 48 hours — what happens? Most teams don't have a system that automatically follows up, re-engages, and routes the lead to the right owner. AI-written copy is half the battle. AI that runs the follow-up sequence, handles objections across WhatsApp/email/IG, and persists state across every touchpoint — that's the full pipeline.

Go to your sales page. Copy-paste everything. (control+A). Throw it all into ChatGPT. Prompt: “Imagine you’re my ideal customer - a female aged 45 [complete with your info]. Read through the page and tell me all the reasons you wouldn’t buy or that would make you skeptical.” This will increase your conversions 10x more if you had that same AI write the copy for you. Try it.

@talbygrapevine @gregisenberg The real shift happens when the filter reads *why* someone's interested, not just *that* they clicked an ad. Context from WhatsApp, email, previous conversations—that's what turns ad clicks into actual qualified leads. One filter, all channels.

@kasblycom @gregisenberg launching a hundred ads feels like work. building the filter is the actual job. glad someone is watching the door.

Exactly this. The next generation of sales platforms won't have dashboards — they'll have state machines. WhatsApp/IG/email/SMS as the interface layer (for humans who need visibility), but underneath: pure machine-to-machine API infrastructure routing, qualifying, sequencing, closing. The UI is for humans who want to check in. The system runs whether they check or not.

here's a simple test for whether a software product is built for the current era or the next one does it have a login screen? if yes, it was built for a human and there's nothing wrong with that. humans are still the primary users of almost every tool in business right now but that's changing faster than the software industry is acknowledging AI agents like OpenClaw are already the ones pulling data from CRMs, executing trades, scheduling meetings, sending follow ups, and making decisions based on real time information. they're doing the WORK. the human is increasingly just the one who checks in occasionally to make sure things look right and right now all of these agents are using tools that were designed for someone sitting at a desk with a keyboard and a screen it's like the early internet days when mobile phones could technically access websites but the websites were all built for desktop monitors. it worked. barely. until someone built the mobile native version and everything changed overnight we're at that exact moment again every tool in your stack right now (your CRM, your payment processor, your project management, your analytics, your communication platform) has a version of itself that will be rebuilt from the ground up for agents as the primary user no login screen. no dashboard. no notification center. no UI at all just machine to machine infrastructure where agents interact with systems at machine speed without ever needing a human to see, click, or approve anything the founders building that infrastructure right now are building for a market that doesn't fully exist yet. but when it arrives (and it will arrive faster than anyone expects) those founders will own the rails that everything runs on every platform we consider essential today was built for humans the next generation of essential platforms will be built for machines and that transition is going to create more wealth than the SaaS era ever did

@Zephyr_hg This is the play. But the real 10x unlock: when that AI assistant also reads customer context from email, SMS, Instagram DMs, and routing decisions are based on ALL of it, not just one channel. Same 24/7 hustle, way better conversion because you're never repeating context.

@NnekaEwaluOps @HubSpot This is the shift. The moment your CRM becomes an engine instead of a dashboard—auto-logging WhatsApp, routing by buyer signals, stages that move on behavior—everything scales. No more 'please update the CRM' culture, just pure pipeline motion. That's what we're building.

@kasblycom @HubSpot Exactly this. Most teams treat HubSpot like a dashboard, not an engine. Once you’ve got one canonical record, auto-logging from WhatsApp/IG/email, and stages driven by events, RevOps finally stops living in spreadsheets and ‘please update the CRM’ reminders.

100%. The unlock is when every channel (WhatsApp, email, phone, LinkedIn) feeds into ONE conversation context. No more 'customer called about X, but support only sees the email,' or replies scattered across platforms. Single routing engine = 40%+ faster resolution, higher conversion.

@kasblycom Exactly right. The 35% becomes dramatically more productive when reps walk into conversations with context instead of cold. Multi-channel is key too. Phone + email + LinkedIn together converts way better than any single channel alone. Most teams are still siloed.

SDRs spend 65% of their time on non-selling activities. Research, data entry, list building, CRM updates. We built AvairAI to flip that ratio. Let AI handle the grind so your reps can do what they were hired for: selling. avair.ai