Get live statistics and analysis of David Toniolo's profile on X / Twitter

technical founder deploying ai in automotive at scale, and building autonomous labs for advanced materials discovery.

724 following834 followers

The Innovator

David Toniolo is a forward-thinking technical founder pushing the boundaries of AI in automotive and advanced materials discovery. With his passion for futuristic tech and infrastructure, he envisions a world seamlessly integrated with adaptive AI and edge computing. Always engaged in lively discussions, David combines technical depth with a flair for thought-provoking insights.

Impressions
1.4M-40.5k
$266.80
Likes
8.9k25
97%
Retweets
563
1%
Replies
86-4
1%
Bookmarks
117-8
1%

Top users who interacted with David Toniolo over the last 14 days

@MilanSchinkel

Circulair entrepreneur.

1 interactions
@fastertweets

tech bro gone rogue

1 interactions
@georgecurtiss

CEO at @helixdb | YC X25 | calisthenics enjoyer 😎 | 🇬🇧 | 6’4” | 23 Star the GH! github.com/helixdb/helix-…

1 interactions
@steipete

Polyagentmorous. Came back from retirement to mess with AI. Enjoyin' Twitter but no time? @sweetistics OSS: mcporter—oracle—peekaboo—poltergeist—trimmy—codexbar

1 interactions
@RoamingKam

New England to LA, 28. I lost a lot of weight. MBA student. Boston Sports.

1 interactions
@Abstudiobrand

Logo Designer | Modern & Timeless Creations Building @BRANDSMARKS2025 | DM For Collaborations

1 interactions
@DeniCodes

WIP rebrand.

1 interactions
@vectorveen

✨Formerly Ui/Ux designer, now 3D interior designer. ✨ @letz_ai@freepik@morphic partner folow me on my new account instagram.com/_vectorveen_

1 interactions
1 interactions
1 interactions
@rawmilkhoney

world’s best girl

1 interactions
1 interactions
@dionizije_fa

kindergarten dropout

1 interactions
@BrettFromDJ

Running a $1M one-man design studio. 🙂 Designjoy.co: $100K MRR ✍️ ProductizeYourself.co: $12K MRR 🧢 Building: humans.design

1 interactions
1 interactions
@tejgw

Cursor for slides @Chronicle_HQ (backed by @accel) • #1 Product of the Month on @ProductHunt • IIT Bombay

1 interactions

David’s tweeting frequency is so high, I half expect his keyboard to file a restraining order for overwork—maybe slow down before your laptop files for a divorce!

Successfully building autonomous labs for advanced materials discovery while pioneering scalable AI applications in automotive, positioning himself at the cutting edge of industrial AI innovation.

David’s life purpose is to revolutionize how technology integrates with our daily lives, building systems that empower innovation at scale and transform industries through autonomous discovery and AI. He seeks to lay the digital infrastructure backbone that future generations will rely on for communication, compute, and creativity.

He values the power of consistent progress, visionary thinking, and collaboration in technology. David believes in leveraging AI to streamline human experiences and is pragmatic about societal and legal dynamics, expecting clear, enforceable rules alongside rapid innovation.

His strengths lie in deep technical expertise, a visionary mindset, and persistence in engaging the community, which helps him amplify his ideas and build meaningful connections in niche tech spaces.

David might sometimes overextend himself, aiming to channel 'Elon-level' productivity, which could lead to burnout or frustration when the pace of daily achievements doesn’t meet his expectations.

To grow his audience on X, David should balance his high-volume tweeting with more curated, insightful threads that break down complex AI and tech trends into digestible chunks. Leveraging targeted hashtags and engaging more with broader tech communities can also increase his visibility beyond the immediate niche.

Despite being a 'small account,' David’s relentless interaction on others' posts supercharges his analytics, proving that engagement trumps follower count every time!

Top tweets of David Toniolo

Small account engagement hack. Post lots of replies on a @tekbog post and he likes EVERYTHING. My analytics have never looked more POWAFUL~

1k

.@FrameworkPuter Send her a maxed out version of whatever she wants. This is one of the more viral posts I've seen in forever on such things... She's a keen engineer. And most importantly @aylacroft has been furiously diligent in thanking everyone that's spreading the word - she's super positive and kind. Wonderful brand association! I maybe wrong, but I'd even guess she'll like and comment here. Which is wild given the virility of this. Her notifications must be broken. :D

1k

This is my AGENTS dot md. It's proving quite useful. What do you have in yours? Enjoy! # Multi-step Approach to Context Engineering ## 0. Tasks - Operate on a task basis. Store all intermediate context in markdown files inside `tasks//` folders. - Use semantic task ID slugs. ## 1. Research - Identify existing patterns in the codebase. - Search external resources if relevant. - Begin by asking follow-up questions to set the research direction. - Document findings in the `research.md` file. ### Context Curation - Curate codebase summaries, key files, and external references (e.g., via tools or summaries) rather than dumping full contexts. - Document project-specific guidelines (e.g., coding styles, preferred libraries) in a `GUIDELINES.md` file within the task folder or repo root. - Ask for step-by-step reasoning on findings to identify gaps early. ## 2. Planning - Review `research.md` in `tasks/`. - Based on the research, create a plan for implementing the user request. Reuse existing patterns, components, and code wherever possible. - If needed, ask clarifying questions to the user to better understand the scope of the task. - Write a comprehensive plan in `plan.md`. This plan should include all the context required for an engineer to implement the feature. - Include test specifications (e.g., edge cases, expected inputs/outputs) and require agents to critique the plan for completeness. - Incorporate coding standards: explicit error handling, logging, function length limits, and docstrings. - Address security: outline permissions limits (e.g., no destructive actions) and potential vulnerabilities. ## 3. Implementation - Read `plan.md` and create a to-do list with all required items. - Execute the plan step by step. - Continue as far as possible. If ambiguities remain, note all questions at the end and group them together. ### Commit and PR Policy - Upon completing implementation, prepare a GitHub commit or pull request (PR). - Include a description with: - A summary of the work completed. - A brief overview of the affected package(s) or components. - References to the relevant task files (e.g., `tasks//research.md`, `tasks//plan.md`). - Example commit/PR message format: ``` [Task ID: ] Implemented Work Summary: - Package Summary: - : References: - Research: tasks//research.md - Plan: tasks//plan.md - Other relevant files: ``` ### Iterative Development - Use edit-test loops: Write failing tests first, implement to pass them, and iterate on failures. - Make small, frequent commits with clean diffs for easy rollback and review. - Demand step-by-step reasoning before coding to catch assumptions. ### Code Quality Standards - Enforce logging, error handling, and refactoring for readability/performance. - Reference files directly (e.g., `@path/to/file`) instead of copy-pasting to maintain current state. - Re-index or refresh context after significant changes. ## 4. Verification - Create feedback loops to test that the plan was implemented correctly - Treat outputs as junior engineer PRs: Review for security (e.g., input validation), performance (e.g., complexity analysis), edge cases, and correctness. - Use checklists: Verify against requirements, run unit/integration tests, check style consistency (e.g., via linters), and scan for vulnerabilities. - Iterate with feedback: If issues arise, refine via targeted prompts and re-verify.

70

Fluid intelligence is strange. I'm not where I used to be, and not where I need to be. I've not been my healthiest lately. Inconsistency in my lifestyle... Some nights over-slept, some under-slept. Inconsistent diet... Inconsistent exercise. There haven't been profound changes to my physical appearance. I'm clearly not at my life's peak, but it's not a shitshow either. The biggest effect is the variability in my cognitive abilities. Under/over sleeping both negatively impact my brain. As does the under/over eating. But perhaps most profound of all - the lack of physical fitness. I have never been big on cardiovascular fitness (running etc). But I've always walked 15,000 steps a day like clockwork, with longer walks on weekends. And highly intense strength training 4-6 sessions a week depending on my stage in the training cycle. It's not an issue when doing low demand cognitive work. But with higher demands it's interesting to note the days when I'm simply missing the gear required to jump the hurdle. One of my main responsibilities is in running my software company. Here I have many talented people surrounding me, and to be completely honest, the demands on brain power aren't what they once were before all the talent. I guess, speaking real, I can coast a little more relative to before. But with the imminent opening of AMII (our advanced material science research laboratory), I'm finding it challenging. Largely my role here will be to provide capital, get people far more talented than I together, provide them with the tools they need and then get the hell out of the way. But I'm an inquisitive person. I am deeply interested in the work - the science, processes, and applications. Dusting off my old physics and chemistry... electrical engineering... Trying to build an understanding deeper than cursory. Time to get life back in order - consistency in all things - so I can perform. It's exciting but I'd be lying if I didn't feel intimidated. I've never noticed "insufficient" capability in myself before. And the variation day-to-day is particularly jarring. Will I get back to how I was? Maybe it's simply that I'm nearly 41 and no longer capable? I don't let myself linger in this headspace - not useful. Perhaps to add some novelty, accountability, and also just share what I find interesting in the process... While I'm on my "return" arc, I'll use this presence to share the journey. Health, fitness, cognitive min/maxing - as well as the things I learn along the way. Hopefully everyone following me finds it interesting. Lets see how this goes. Love y'all!

230

Most engaged tweets of David Toniolo

.@FrameworkPuter Send her a maxed out version of whatever she wants. This is one of the more viral posts I've seen in forever on such things... She's a keen engineer. And most importantly @aylacroft has been furiously diligent in thanking everyone that's spreading the word - she's super positive and kind. Wonderful brand association! I maybe wrong, but I'd even guess she'll like and comment here. Which is wild given the virility of this. Her notifications must be broken. :D

1k

Small account engagement hack. Post lots of replies on a @tekbog post and he likes EVERYTHING. My analytics have never looked more POWAFUL~

1k

Fluid intelligence is strange. I'm not where I used to be, and not where I need to be. I've not been my healthiest lately. Inconsistency in my lifestyle... Some nights over-slept, some under-slept. Inconsistent diet... Inconsistent exercise. There haven't been profound changes to my physical appearance. I'm clearly not at my life's peak, but it's not a shitshow either. The biggest effect is the variability in my cognitive abilities. Under/over sleeping both negatively impact my brain. As does the under/over eating. But perhaps most profound of all - the lack of physical fitness. I have never been big on cardiovascular fitness (running etc). But I've always walked 15,000 steps a day like clockwork, with longer walks on weekends. And highly intense strength training 4-6 sessions a week depending on my stage in the training cycle. It's not an issue when doing low demand cognitive work. But with higher demands it's interesting to note the days when I'm simply missing the gear required to jump the hurdle. One of my main responsibilities is in running my software company. Here I have many talented people surrounding me, and to be completely honest, the demands on brain power aren't what they once were before all the talent. I guess, speaking real, I can coast a little more relative to before. But with the imminent opening of AMII (our advanced material science research laboratory), I'm finding it challenging. Largely my role here will be to provide capital, get people far more talented than I together, provide them with the tools they need and then get the hell out of the way. But I'm an inquisitive person. I am deeply interested in the work - the science, processes, and applications. Dusting off my old physics and chemistry... electrical engineering... Trying to build an understanding deeper than cursory. Time to get life back in order - consistency in all things - so I can perform. It's exciting but I'd be lying if I didn't feel intimidated. I've never noticed "insufficient" capability in myself before. And the variation day-to-day is particularly jarring. Will I get back to how I was? Maybe it's simply that I'm nearly 41 and no longer capable? I don't let myself linger in this headspace - not useful. Perhaps to add some novelty, accountability, and also just share what I find interesting in the process... While I'm on my "return" arc, I'll use this presence to share the journey. Health, fitness, cognitive min/maxing - as well as the things I learn along the way. Hopefully everyone following me finds it interesting. Lets see how this goes. Love y'all!

230

Who's running @compai's marketing via @compliantvc ? If you're a vendor please reach out. 😂❤️

153

.@AravSrinivas what's a paying Perplexity fan gotta do for a comet invite round here? 😭

152

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