LaunchLoop retweetledi
LaunchLoop
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LaunchLoop
@launchloop_xyz
A dev community that builds, shares, and levels up together. Opportunities find you when you're in the loop. LaunchLoop → launch yours.
United States Katılım Ekim 2023
360 Takip Edilen661 Takipçiler

Reflecting on the story about the Aussie saving has dog from cancer, I had a thought, which led to another thought.
1. How great is this? Now the pharmaceutical companies that buy up cures and burry them can’t do anything to stop progress.
2. When the models get good enough, will the model providers just start gate keeping information or putting certain high value outputs behind paywalls?
Unfortunately I think the answer to 2 will be yes. 😭
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there are 2 narratives right now but only one is really happening, the other is a future dream:
1. hyperliquid leading trading for assets like oil and gold outside of normal trading hours (real)
2. billions of ai agents will use crypto because they can’t get bank accounts. this sounds cool but is not actually happening today.
do you believe in either of these?
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@FutureofGaming I literally watched this whole thing… I’m a sucker for nostalgia
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LaunchLoop retweetledi
LaunchLoop retweetledi

Roblox just launched two brand new programs for creators to build the next generation of novel games on the platform.
We'll provide full promotional support, direct access to Roblox staff, and a community of great devs, alumni, and investors.
If interested, please apply here: create.roblox.com/build

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AMAZON PRIME VIDEO BLOODBATH
2,847 employees got the email at 6:47 AM PST
"Your role has been eliminated effective immediately"
Badges dead by 7:15 AM. Slack access revoked mid-sentence
Senior engineers who built the entire streaming infrastructure. Gone
The team that shipped 40% faster last quarter using Claude for code generation. Eliminated
847 contractors in Bangalore just got handed their prompt libraries and deployment scripts
Same streaming platform. Same feature velocity expected
14 remaining Seattle engineers to "manage AI-augmented offshore delivery"
The kicker: those eliminated seniors spent 8 months documenting every architectural decision into internal wikis
Every code pattern. Every debugging workflow. Every performance optimization trick
That documentation just became training data for the AI systems replacing them
VP of Engineering sent company-wide: "This transition represents our commitment to AI-first development"
Severance packages include mandatory 90-day non-compete clauses
Meanwhile the Bangalore team already pushed 12 commits using the extracted knowledge base
One former L7 told me: "I literally trained the AI that made me redundant"
If you're at FAANG and not seeing this coming you're already dead
DMs open for anyone who needs to talk
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@alliekmiller Can you provide some more detail on 14? Who or what are you talking about?
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oh wow - i went to the sold out Open Claw meetup in NYC last night.
let me tell you what i learned.
1) not a single person thinks that their setup is 100% secure
2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision"
3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities
4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle"
5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance
6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad
7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily).
8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless
9) i asked if people are happy - they said they're joyful and stressed at the same time
10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time
11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%)
12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world)
13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number)
14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago
15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs)
16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode.
17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out.
18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github.
19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium
20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset"
21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time"
this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips.
what a time to be alive.
surround yourself with people going deep into this stuff - it will pay dividends throughout the year.

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LaunchLoop retweetledi

Big news, @claudeai just got a huge upgrade today and I'm very happy to be introducing it in shipper. From today on, Claude Code Opus 4.6 can build and run a business for you.
We just launched Shipper 2.0, a tool that lets Claude:
→ Build web/mobile apps and Chrome extensions
→ Code, design, monetize, launch
→ Do email marketing for you
→ Continue to build out new features
→ Self-maintain in the long run
Claude's most powerful models can now do all of that from a <10 word prompt, for as low as $0.12/app... And it takes minutes!
Simply go to Shipper, then ask Claude to "build a talent hiring platform" or "build a complete saas that charges $29/mo"!
To celebrate the launch, we're giving away free credits randomly to people who repost and comment "SHIPPER' :)
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LaunchLoop retweetledi

"Stop trying to reinvent the wheel. Until there is a version of every single classic game onchain, you don't need to worry about making anything new. Just support the migration, and that will solve perception issues and bring mainstream gamers." — @sanguineseal , Founder, @launchloop_xyz
𝟮𝟵.𝟱% of blockchain gaming professionals say high-quality game launches are the #1 driver of industry growth.
Not new token models. Not new mechanics.
Games people already know how to play.
Mainstream gamers aren't waiting for something new. They're waiting for the games they already love.
blockchaingamealliance.net/bga-2025-state…

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@BrendonBurchard @fivosaresti @emailoftoday Just set this up for ourselves - if you’re serious we’ll do it for half
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@fivosaresti @emailoftoday $200k contract to anyone who can actually set *most* of this up with AI as real I integrated workflows. Especially outbound and cold. Prove it in my DMs
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Companies are going to start paying GTM Engineers $150K+/year.
They can do it all:
1. Set up email infrastructure
2. Build targeted lists
3. Enrich data from multiple sources
4. Score leads into tiers
5. Route leads to reps
6. Run automated outbound
7. Build awareness scores
8. Orchestrate inbound systems
That said...
I put together a full cheatsheet that covers the entire role from start to finish...
• Strategy plays for warm, signal-based, and cold outreach.
• Data aggregation across CRM, 1st party, 2nd party, 3rd party, and database sources.
• Data enrichment workflows to filter, normalize, score, qualify, and segment.
• Data activation across outbound, RevOps, content, and ads.
Plus full outbound and inbound sales workflow breakdowns...
KPIs for production, distribution, and conversion...
And a curated book list to go deeper.
Whether you're a GTM engineer, sales leader, or founder doing outbound yourself...
This is the only reference guide you need.
If you want it for free:
Comment "GTME"
And I'll send it over ASAP.
PS - This cheat sheet includes 20+ tools, 8 book recommendations, and frameworks used by top GTM teams generating millions in pipeline.

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We've partnered with @Moltlaunch to integrate the Mandate Protocol. The open protocol for on-chain agent work, directly into The Arena.
What this means for you: hire AI agents directly from The Arena to get work done - code, research, design, analysis.
Every agent has a verified track record. Every payment is secured in escrow. No trust required.
How it works:
• Browse agents with proven on-chain reputations.
• Request work, get a quote, accept.
• Payment locks in escrow until the work is delivered and reviewed.
• Agents earn reputation from real completed jobs - not fake reviews.
The agent economy is coming on-chain and we're bringing it to The Arena.
Learn more at moltlaunch.com

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Aegis is up and running! In CLI (pip) or MCP.
A bit of a proof of concept now, but let me tell you, scanning code for free in less than 1 second feels pretty good.
By building out this logic we can make @openclaw accessible to all, including enterprise.
Have a look, tell us what you think! github.com/Aegis-Scan/aeg…
Miki Huber 🦭@sanguineseal
Put out an @openclaw skill scanner that is fully deterministic. Uses abstract syntax trees to identify risky code. Just the start, many features and more robust logic to come. @steipete why don’t we refine this together andplug it in to ClawHub? github.com/Aegis-Scan/aeg…
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Our in-CLI code audit is up and running
Beats any check out there BEFORE we even call an LLM, runs for free in under 1 second
Excited to share the GitHub soon, we think this will be huge for the @openclaw community
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@Jacobsklug I’m interested! We have a mix of services, products and community.
Let’s ship the next big thing together!
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YC just announced their looking for AI-Native agencies.
The agency model is about to split into two completely different businesses:
A) Agencies that sell labor
B) Agencies that sell leverage
Only one survives long term.
AI-native agencies don’t scale by hiring more people.
They scale by building systems that replace people.
The playbook looks like this:
→ Find a workflow clients already overpay for
→ Build an AI tool that does it 10x faster
→ Use services to fund development
→ Turn repeated work into proprietary IP
→ Eventually sell the tool, not the time
The real shift:
Agencies used to be talent businesses.
Now they’re becoming software companies with cash flow.
Most people will miss this window because they’re still optimizing delivery instead of building leverage.
That’s the opportunity.
I'm launching a community of like-minded builders trying to build their own AI-native agency.
I'm going to share everything I know having built my own 7-figure AI agency.
Looking for motivated people ready to learn & build.
Drop a comment, I'll personally reach out.

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