Founder, CEO • Sell-out events, engineered for agri-tourism | DMs Open
New Jersey, USA
Joined May 2025
- Tweets374
- Following123
- Followers154
- Likes1.2K
Parker Scherer retweeted
most founders I meet are just playing the part of a killer.
they're comfortable, coached on what to say, and scared to go all in. it’s actually sad.
if you have even a LITTLE dog in you, you're already ahead.
Parker Scherer retweeted
We raised a $7M pre-seed to make shopping fun again.
@daletlabs generates media just for you: like walking into a mall built around your taste. And you can buy everything in-app.
Built by researchers from Google, Runway and MIT. Backed by @lightspeedvp and amazing angels.
Parker Scherer retweeted
The largest math proof in human history is now computer-verified.
Today, Axiom announces a complete Lean auto-formalization of the Classification of Finite Simple Groups, the "periodic table of symmetry."
About 15,000 pages, built by over 100 mathematicians across generations.
Parker Scherer retweeted
AI made everything faster. Love is the one thing it shouldn't rush.
Introducing Inyo: your personal matchmaker that lives in iMessage.
No feed to scroll. Nothing to swipe. You just text.
Inyo gets to know you the way a close friend does, including the patterns you can't see yourself. Then, every few days, it introduces you to someone who fits.
Two separate lives. One introduction.
We're live in NYC, SF, LA, and Toronto. Comment "Inyo" and I'll send you an invite.
Parker Scherer retweeted
Introducing Canva Craft 🚀
Extraordinary image generation is now available to everyone, powered by our first frontier model built specifically for design.
With Craft, Canva is now the world's second most advanced AI lab for image generation on @DesignArena's global leaderboard.
See what it can do 👇
Parker Scherer retweeted
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Parker Scherer retweeted
Introducing SKY-001, the first Engineering World Model.
On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested:
-> 51-125x faster
- > 150-210x cheaper
-> Higher IOU than all frontier models
SKY-001 lets you dream a physical object before you build it.
18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch).
The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
Parker Scherer retweeted
iMessage agents for your business in 30s.
Send a link and Bland learns your business, plugs into your APIs, and creates a branded agent for you automatically.
The agent can do things like Tapbacks (❤️,👍,❗), send embedded components, and even accept payments within a chat.
It's live now. Text +1 (415) 481-7537.
Parker Scherer retweeted
At Self Labs, we’ve been using agents since day one
Our agentic web identity & privacy stack is already used by companies like Google
Today we're launching the missing piece: Agent Vault, a secure way for agents to log in & make credit card payments
Superpowers for your agents
Parker Scherer retweeted
We’re months away from AGI and the leisure economy’s about to explode
Today, we’re launching Odessia, an always-on concierge for travel and experiences
Prices are spiking, places are getting crowded. Odessia is your cheat code to going places
Text to get started for free
Parker Scherer retweeted
You already gave the LLM the answer. So why is it writing it out from scratch?
Introducing a new AI model architecture: Constrained Decoding Models (CDMs)
LLMs were built to write. Most production workloads just need an answer: fast, consistent, and affordable.
CDMs are purpose-built for 1 task each. They read your input once and skip the token-by-token generative loop that makes LLMs slow and expensive.
Not just a decision model, but a family of 3 CDMs live today:
• Classify: define your labels and get back a calibrated probability + reason for each. Used for routing, tagging, and intent detection.
• Extract: describe the entities in natural language and get back well-formed JSON with confidence scores + citations. Used for web scraping, document processing, and PII redaction.
• Summarize: pass in long text, images, or PDFs and get back a consistent summary under 1,000 tokens. Used for context compaction, metadata generation, and transcript digests.
Built for production:
• 1M tokens of multimodal (text + image) input, 31x larger than Jev
• 77.2% on DecisionBench vs Jev's 72%
• 200x faster, 467x cheaper than frontier LLM APIs
• $0.05/M input tokens. Output is free (yes, even for summarize)
Live on your favorite platforms today:
@OpenRouter @vercel_dev @LiteLLM @LangChain @TrustedRouter @itsArthurAI @useRouterPlus
Get 50M input tokens for free (for the first 50 hours) at link below 👀
🤖 Made with AI
Parker Scherer retweeted
Your API is now your product, and it needs to move as fast as you do.
Introducing Restless.
Every call, support question, pull request, and error message leaves your API better for the next agent.
Parker Scherer retweeted
AI is already smart enough.
Real-world tasks are still slow, expensive and unreliable, because we hand AI a computer built for humans, then wrap it in a heavy harness.
AI doesn’t need to get smarter. It needs a computer built for it.
Today we’re releasing Pine Computer
Readers added context they thought people might want to know
Pine's highlighted SaaS-Bench v1.1 results show higher checkpoint score (78.3%) but lower resolved full-task completion (27.4%) than comparators (29.2%, 31.1%). Pine Computer is in private beta, not a full public release.
unipat.ai/benchmarks/Saa…
pinecomputer.io/blog/introduci…
Parker Scherer retweeted
Most AI tools expect you to know exactly what you want.
But creative work often starts with a brief, a reference, or just a hunch.
That’s why we built Burst mode.
Turn the start of an idea into up to six image directions at once, up to 10× faster, for just one AI credit.
More directions to explore. More chances to find the one worth pursuing. elements.envato.com/lp/burst…
🤖 Made with AI
Parker Scherer retweeted
something i've noticed running marketing for event businesses
if you run a
music festival
halloween event
pumpkin patch
holiday light show
restaurant or club
your tiktok and instagram seo matters more than your google seo
nobody searches "things to do this weekend" on google and books.
they see one video, tag three friends, and buy tickets from the comments.
Parker Scherer retweeted
Your AI is vaporware without deep integrations with your customers’ systems of record.
Introducing @WithAmpersand: integration infrastructure for enterprise agents.
We power 11x, Orb, and Square's ability to take agentic action in systems of record like Salesforce, SAP, NetSuite, and Workday.
Ask anyone serious about building AI and they’ll tell you:
- The SaaSpocalypse didn’t happen. The world depends on CRMs, ERPs, HRISs, and ITSMs.
- Your customers customized their deployments beyond recognition.
- Systems of record companies are basically monopolies. They never had to make their APIs and MCPs user-friendly.
- Docs don't explain half the weird edge cases you'll hit.
- One bad write can blow up your pilot or renewal.
- Once you finally get it working, someone changes a field and it breaks again.
The world's data lives in structured databases. AI needs a translation layer to work with it.
So, for your AI to truly transform the way enterprises work, you'll need deep integrations built for:
- scoped permissions
- bi-directional actions
- real-time speed for agents
- custom objects, fields, and workflows for each of your customers
We built Ampersand to power the future of software.
AI didn't trivialize writing integrations. It made them the critical path.
I believe that deeply, so I didn't make a launch video about Ampersand.
Instead, it's the best builders I know explaining just how big of a challenge this is.
Parker Scherer retweeted
Today, Nolla Health became the first organization in the U.S. (and possibly the world) to receive regulatory approval for an AI to issue initial prescriptions.
This makes Nolla the first ever actual end-to-end AI doctor.
Parker Scherer retweeted
Everyone got a coding agent. Nobody got a QA engineer.
Until today.
Meet Ship, your Autonomous Quality Engineer.
It tests deployed PRs, reproduces bugs from Slack and Linear, and hands Claude or Codex the context to fix them.
Try it free: ship.contextqa.com
