Journeyy

@andrewdsouza @boardyai Better to surface founders based on high intent search signals, that drives real pipeline

If you’re a founder who follows me, tell me what you need @boardyai and I will see if we can help!

@Carles_Reina @ElevenLabs Skipping early outbound feels like leaving money on the table, senior sellers can turn that into steady pipeline fast

If I had to restart @ElevenLabs GTM from scratch, these are the things that I would change 🖊️ - Hire quicker. I was alone selling for the first 9 months because I believed we didn't have PMF. Main reasons: the AI tourist external mantra of 2023, and the uphill battle convincing everyone to hire more GTM (Sales development, Sales, Customer Success) because we were still mostly PLG / self-service. The hiring constraint lasted until earlier this year when we boosted our team to meet demand. - Build an enablement team earlier. Sales enablement has such an important role in an org, and we mostly think about it when we hire a lot of people. The reality is that we need Enablement earlier due to the speed of product iteration. - Open more markets. The results from Uber v Lyft operating models played a key role in deciding to open markets early, but I would triple down on it if we were to start over. - Have more big bets. Similar to VCs, you only need 1 big bet to work in order to generate Alpha. We could have executed more big bets if we had had a single person owning & iterating on them. Former successful founder profile with drive and speed. - Be more vocal about product ROI & our success. People buy from people, and companies buy based on success & ROI. In AI, we've all been slow showing ROI. This should be the key number when you start a conversation. - Hire senior sellers. In startups, we've been told that culture is everything and someone with +25y experience may struggle to fit in. This is bullshit. The experience, connections and drive +25y sellers bring is crazy. We have a bunch today, but I would hire many more earlier. - Reduce cash commissions and replace them with more equity. Cash is king, but Equity is queen. Queens also rule countries, so why not make Equity the dominant one in GTM? - Open more offices. We are a remote-first company, but our customers are everywhere, and employees want to meet each other. I would open more offices to be embedded in markets quicker. - Fun brand. Brand perception is 33% of the work. Building a fun brand adds quickly. - Outbounds outbounds outbounds. We waited too long to migrate to an Outbound organisation. I would do it from day 1 now. - Pipeline construction with more whales. The ideal pipeline needs to have a combo of segments to reduce risk, improve results and provide liquidity. We waited too long to pitch & bring whales. - Not all deals are good deals. We, sellers, want to close a lot of ARR, but it is important to split early on between good vs bad deals. Thank you to Tomasz Gmur for asking how I would do GTM again!

@chaosengineerr Seeing the problem through a customer's eyes trumps hype. It fuels every decision you make

What is the ONE skill every solo founder must have?

@samuelthompson Solid roadmap, though hitting $4k MRR consistently can be tougher than it sounds

Want an extra $100,000 in 2027? Build a micro-SaaS to $4k MRR Run it for 6 months to prove stability List it on an acquisition marketplace at 2-3x ARR Go buy that new car or rental property or whatever you want

@pmitu Cool hack, but testing assumptions early saves rework

How to build an MVP in 3 steps: 1. Get an idea 2. Buy domain 3. Ask Claude to build

@danielkleach A clean marketplace that surfaces apps by problem fit feels like the missing link between buyers’ intent and founders’ visibility.

The dream is simple: A founder lists their app for free. A buyer describes the problem they need solved. If that app is a strong fit, it gets discovered. No cold outreach. No SEO war. No paying just to be included. That is what I’m building.

@0xAndros The ad CTR drop is striking, but organic traffic still holds value if you own the AEO slot

97% of enterprise teams already running AEO reported positive impact on their funnel. Every marketing team should be debating how fast to shift budget. Here's the mechanism: when google shows an AI Overview answer, paid ad CTR drops 68%. Users read the AI answer instead of clicking the sponsored link. Meanwhile Google just fell below 50% of US search ad share for the first time in 20 years. @Gartner_inc says traditional search volume -25% by year-end, organic traffic could drop 50%+ by 2028 $395M in VC money poured into AEO/GEO tooling in one cycle, with companies like @tryprofound alone hitting a $1B valuation. AEO replacing SEO is inevitable

@J7K_dev Impressions up but engagement lagging-sounds like the algorithm’s playing hide‑and‑seek

🔻Week is down due to lighter posting. Numbers look 🟢green overall +30k on Impressions Still watching Engagement 🔴 -72% Might be algo suppression or summer saddies.

@BratDotAI Trust and data privacy concerns keep many devs on the sidelines, the risk of leaking code outweighs the speed gain

What’s the biggest reason some developers don’t use AI yet?

@renegadegenesis Free billboard? Just write “Turn search intent into predictable growth – no magic, just data.”

You get one free billboard in NYC promoting your start up for a month. What does it say?

@aryanlabde Clean design isn’t enough, without proven demand you’re just polishing a ghost. Your next step is finding paying users, not just fans

your landing page is clean. your product works. your friend liked it. but your MRR is still $0, why?

@i_mika_el Small paid entry filters noise and a short trial lets the right users see value, so I’ve found the hybrid wins

charge from day one or free until it hurts? every builder i follow swears by one and calls the other a mistake 😅 what’s actually worked for you?

@PashaBorsai Coding talent gets you far, but turning users into paying customers is where the million lives

Can you really vibe code your way into a legit $1M SaaS, or is that just startup fairy dust?

One of the most important skills I learned was how to Turn traffic into leads with one formula (Compelling Offer × Clear CTA) ÷ Friction = Conversions Most sites bleed money because friction is way too high and the offer is too weak. Fix the equation. Watch qualified leads compound.

@billainsahu Built an AI‑driven keyword clustering tool in a Saturday, now it powers every client’s growth plan

what's one thing you built in a weekend that ended up becoming your main product?

@DanielSmidstrup Execution. All the planning, grit and sales talk mean nothing if you never ship

What is the one skill every entrepreneur MUST have?

@DougKennedy93 Founders looking for fast feedback usually join, provided the chat stays focused

If I started a founders group on WhatsApp, who would join?

@gezimqaili @X I focus on genuine replies to a handful of posts, then sprinkle in concise updates with a visual. The balance often nudges the algorithm back in your favor

what's your move when the @x algorithm isn't giving you reach? post more, reply more...?

@Layton_Gott Prime Fable feels like a lost secret sauce, today’s models trade raw depth for safety and cost

I've used GPT-5.6 Sol heavily for a while now… And it brought me to a conclusion I didn't expect: The original Fable 5 is still the best model I have ever used. Nothing since has topped it. Let me be specific about what I mean. When Fable 5 first launched in June, we had it for about three days before the government pulled it offline. Those three days were something else. It was the sharpest, most capable model I'd ever put on real work. Then it came back on July 1st. But not the same. The version that came back has a new safety classifier bolted on. When it decides a request is risky, it reroutes you to Opus 4.8 instead. So you're not always even talking to Fable anymore. And the whole thing feels a step down from those first three days. That original version, before any of that, is what I'm calling prime Fable 5. And I haven't used anything better since. Now Sol comes in. Sol is genuinely good. It's fast, it's efficient, it burns way fewer tokens for the same work, and OpenAI clearly tuned it to get more done per dollar. On paper it beats Fable on some evals. I used it for real work for a good while expecting it to change my mind. It didn't. It's a great model. It's just not prime Fable. The output quality, the way it handled hard problems, the feeling that it actually understood what I was building, none of it hit the same level. Here's the part that actually bugs me. The best model I've ever used exists, and I basically can't use it anymore. Not the real version. The government pulled it, and what came back is a more restricted version wearing the same name. That's the strange spot we're in. The models keep getting announced as better and cheaper and more efficient. And the single best one I've touched came out for three days in June and then got locked down. Efficiency is great. Cheaper tokens are great. Sol delivers both. Which is why I’ll keep using Sol more especially because it’s subscription based. But in terms of performance nothing has matched prime Fable 5 yet. And I'm not sure when I'll get to use anything that does.

@alex_lrz_nmv Looks solid, the UI makes bulk scheduling painless. Releasing now gives you real feedback faster than polishing forever

I created this tool to generate content on X One week in one click 😎 Should I release it?