
Early-stage B2B SaaS, Dev Tool, and AI growth Past: Head of growth marketing for @periscopedata (acq’d), @heap (acq’d), @joinhomebase, and others.
Los Angeles
Joined April 2008
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Jon Bishop retweeted
if i was starting my FIRST DAY as a new Head of Content, here's what i would do:
- build a new blog using a static site generator, host with GitHub, deploy with Netlify or Cloudflare Pages. for an existing blog like WordPress, set up an MCP connector. the goal is a fully AI-native blog, analysis, content creation, updating, all from the terminal, all in my control
- get access to Gong/Intercom/Slack and extract common entities and n-grams. find the language customers and prospects really use, use this as seed keywords for topic research
- build key "source of truth" files in markdown i can reference throughout my workflows: a master list of product features and use cases, canonical writing voice with specific reference articles, key strategic priorities to shape everything we do
- crawl our sitemap and generate vector embeddings for every article. use this to analyse topical authority (and topic "drift") and automate internal linking
- schedule a recurring, automated content audit: pull rankings and backlink data via the Ahrefs MCP, analyse AI search visibility with Brand Radar, flag technical issues with Site Audit, look for traffic decay via GSC and make a priority list of content updates
- set up a daily cron job to refresh our highest priority articles: extract the article content, run through AI Content Helper to fill topic gaps, update old claims and statistics, save as a draft for my review
- run a content gap analysis using the Ahrefs MCP to find key topics our competitors have covered that we haven't. use Firehose to get a daily update of new articles and industry news emailed to me
- build my Content OS: a centralised dashboard that pulls all of these reports and workflows into one place. this is exactly what i've done at Ahrefs using Agent A
- get fired for spending $80M in AI credits in my first day (maybe?)
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i sound like an obnoxious AI hype bro, but all these workflows are things my team have actually built. many of them will become the norm sooner rather than later
AI is truly putting the "manager" into "Content Marketing Manager". we now operate at a higher-level of abstraction, building systems to support our work instead of doing everything ourselves
we don't have to consign ourselves to Google Docs and rely on developers and designers: we can build AI-native blogs as malleable as plasticine and shape every facet of them to our exact specification. if you can imagine it, you can build it!
and as crazy as this sounds, this isn't so much the "first 30-days" of content marketing as the first 30-MINUTES, because so much of this infrastructure can be built agentically. you just need to have the vision, know what to ask for, and use your taste and experience to nudge as these systems get built for you
if you don't know where to start: pick one of these ideas, login to Claude Code or Codex or Agent A, paste the bullet and ask it to build it (and some of these are already available as free apps in Agent A!)
Jon Bishop retweeted
🚀 Introducing Frontend Textbooks — a simple Codex skill I made for myself.
github.com/onepixelaway/fron…
AI can create incredible deep dives but they end up as long and exhausting walls of text.
This skill uses HTML to turn them them into well designed books with covers, diagrams, smart layouts.
Try it and send me your feedback! Inspired by @zarazhangrui 👋
Jon Bishop retweeted
this should be the warning label on any solution Western medicine has 💊 for chronic & metabolic disease
“Low-level tinkering while ignoring high-level evolutionary inputs puts you in danger of iatrogenic dunning-kruger maxxing”
Bryan, I know you have mentioned that some of your autoimmune issues started before you started avoiding the sun. Regardless, I believe this information is important for you to read, maybe it will just tickle your curiosity, and maybe it will get integrated into your team’s model of understanding going forwards.
In this long post I'll try to lay out some of the complexity present within the light-immune system axis, with the aim of reinstating humility when it comes to understanding such complex systems, and preventing the iatrogenic mistakes that come from reductionist thinking and the dunning-kruger effect of being at the cutting edge of knowledge and testing, which can lead to losing the forest for the trees.
This is meant to be helpful. It aims to expand the perspective you take on light, cus from the outside it looks like youre still treating sunlight as solely a source of vitamin D (which you then just supplement instead), religiously avoiding midday sun, umbrellaing and creaming away the entire UV spectrum, and discounting the rest of what that light is actually doing in the body. I just think your model of the trade-offs of sunlight are incomplete.
UV is about 3% of the solar spectrum. Tiny sliver. But humans (and life in general) evolved bathing in it for hundreds of millions of years. When something that small has been a constant selective pressure for that long, biology tends to wire it in as a signal (not just a stressor). The dose means everything, and we can see the body constantly tuning this dose to our benefit with changing behavioural patterns and skin melanin content.
The field that studies this properly is photo-neuro-immuno-endocrinology. The core finding is that skin isn't just a barrier. Its a full peripheral neuroendocrine organ. When UV hits it, keratinocytes and melanocytes and mast cells and Langerhans cells start producing and releasing a whole orchestra of messengers. POMC and its cleavage products (ACTH, alpha-MSH, beta-endorphin), CRH, urocortins, enkephalins, serotonin, melatonin, even TRH/TSH and thyroid hormones locally, catecholamines, endocannabinoids. Cool stuff.
And these dont stay in the skin. They enter circulation, they activate the central HPA axis, they signal immune tissue. Your skin is essentially broadcasting systemic instructions coded by the light it's exposed to. Of course it does, the body takes in as much information as it can to calibrate an allostatic response to maintain homeostasis.
That in and of itself renders any model of understanding that suggests supplementing D is adequate, completely reductionist. You cannot pill this. A vitamin D capsule doesnt trigger cutaneous and central POMC. It doesnt release beta-endorphin from your skin into your brain. It doesnt drive the urocanic acid photoisomerisation pathway. These are photonic signals that cannot be short-cutted. It is proof of work.
Now to bring it back to your specific situation.
You have autoimmune thyroid disease and now autoimmune gastritis. Two autoimmune conditions closely tied together. Your whole intervention stack for the AIG is aimed downstream at the immune activation itself. Damp the cytokine signalling (JAK/STAT, IL-17), rebuild regulatory T cells (low-dose IL-2, iTregs), and at the frontier, CAAR-T to delete the rogue B cells. It is impressive and genuinely awesome what we can do these days. But I fear it lacks coherence. We measure and measure and measure what we can, and think we see the whole picture. But we don’t.
Low-level tinkering while ignoring high-level evolutionary inputs puts you in danger of iatrogenic dunning-kruger maxxing.
Meanwhile UV light is one of the oldest Treg-induction and tolerance signals we have, and you're blocking it 24/7. Why would this not be the first thing you integrate into your protocol? To prevent some skin damage? Remember, trade-offs… they are inescapable in this biological world. Just because you can’t measure them immediately, doesn’t mean they won’t rear their ugly head years later.
This isn't as hand-wavy as it may first seem to the uninitiated. The mechanism is mapped out quite nicely already.
UVB hits the skin → Langerhans cells (the resident antigen-presenting cells in the epidermis) migrate to the draining lymph nodes → they induce antigen-specific, Foxp3+ regulatory T cells → those Tregs circulate and dampen inflammation systemically. Sasaki (I’ll put references at the end btw) showed in 2017 that UVB exposure inhibits atherosclerosis in mice by expanding exactly this CD4+Foxp3+ Treg pool and suppressing pro-atherogenic Th1 activity. When they depleted the Langerhans cells, the protection vanished completely. LC-dependent immune-regulation.
UV radiation suppresses experimental autoimmune encephalomyelitis (the MS model) independent of vitamin D production. And the MS latitude gradient (way more MS the further you get from the equator) has never been fully explained by vitamin D levels alone. UVB seems to be doing tolerance work through the POMC → alpha-MSH/ACTH axis, peptides with anti-inflammatory and neuroprotective activity.
Then theres urocanic acid. UCA sits in your stratum corneum, and when UVB hits it (280-310nm) it photoisomerises from trans to cis-UCA. cis-UCA is water soluble, enters circulation, shows up in serum and urine, and is a potent systemic immunomodulator. In a psoriasis model it dropped IL-23 and bumped PD-L1 on Langerhans cells. IL-23/IL-17 driven autoimmunity.
It seems clear that the direction of your interventions and the direction of your light avoidance are contradictory. You're trying to build tolerance pharmacologically while removing a free, evolutionarily-tuned tolerance input at the environmental layer. Remember forest for the trees.
Now, it cuts both ways (it usually does in Nature). Remember, trade-offs… always. UV genuinely has two faces. It photodegrades folate (esp UVA), which is why melanin evolved as a shield in high-UV latitudes. It damages DNA, generates ROS, and yes chronic, excessive, burning exposure raises skin cancer risk. The pigmentation gradient across human populations IS the evolutionary compromise between making enough vitamin D & absorbing general benefits of the spectrum of light and not frying your folate and genome. So the answer is never to block everything OR to bake all day without exception. Its dose, context, spectrum, skin type, latitude, season, timing. Intuition understands this.
And wavelength specificity is where any strategy attempting to block certain wavelengths and distorting the natural spectrum of sunlight really falls apart, because UVA and UVB are NOT interchangeable. They hit different chromophores and activate different circuits.
An example would be a study looking at UV eye irradiation in a mouse colitis model. UVA through the eye IMPROVED the colitis. UVB through the eye WORSENED it. Opposite outcomes in the same organ with a different wavelength. UVB is around 1000x more biologically potent per photon (minimal erythema dose) and mostly hits the epidermis. UVA penetrates deeper to the reticular dermis and works more through ROS and NO release. When you deploy a UV umbrella and broad-spectrum sunscreen you aren't making a precise call, you're nuking the entire signalling band cus you only accounted for one output (vitamin D).
Also the skin isn’t the only organ doing the sensing. The eye is a second, separate light antenna wired into the same central machinery. UVB through the eyes drives the hypothalamic POMC response through an NO-dependent route via the ciliary (parasympathetic) ganglia and the ophthalmic branch of the trigeminal nerve.
UVA is different again, it reaches the retina and signals to the brain via the optic nerve. Different wavelengths, different nerves, different circuits, all feeding into the same neuroendocrine control centre. This is what coherence starts to look like. Sunglasses-outdoors-always habit isnt neutral. It blocks a key signalling channel into the hypothalamus that your body spent hundreds of millions of years designing & perfecting.
And regarding vitamin D, the biggest lesson I think conventional medicine could learn is to move away from a ptolemaic model of understanding. It puts vitamin D at the centre of the UV universe and assumes everything orbits that one molecule, so blocking UV + supplementing D looks like a clean win with no cost (trade-offs trade-offs trade-offs).
The actual biology is Copernican. UVB spins off a whole constellation of photoproducts (the CYP11A1-derived hydroxymetabolites, lumisterol, tachysterol, once assumed inert, now known to be enzymatically activated and bioactive in serum) hitting multiple nuclear receptors (VDR, RORs, AhR, PXR), running in parallel with an entire neuroendocrine and immune signalling network that has nothing to do with serum 25(OH)D at all.
I don't think you can capsule this constellation. Or the tolerance signal your immune system reads through your skin.
All this to say, maybe it is worth considering the idea that UV light is not a pure toxin. Maybe, through the course of billions of years of evolution, Life figured out a way to incorporate some of that high photonic energy into something useful. Maybe it figured out a favourable trade-off.
pnas.org/doi/10.1073/pnas.23…
pubmed.ncbi.nlm.nih.gov/2719…
pmc.ncbi.nlm.nih.gov/article…
pubmed.ncbi.nlm.nih.gov/2289…
pubmed.ncbi.nlm.nih.gov/2531…
pubmed.ncbi.nlm.nih.gov/2030…
pubmed.ncbi.nlm.nih.gov/1253…
pubmed.ncbi.nlm.nih.gov/2742…
pmc.ncbi.nlm.nih.gov/article…
pubmed.ncbi.nlm.nih.gov/1388…
Jon Bishop retweeted
We are hiring a software engineer at @reflectnotes.
If you are:
- Highly self-motivated and happy to work remote
- An expert in TypeScript, Web Apps, web perf
- A contributor to an open-source project
- WASM experience a plus
Please reach out via DM.
A heads up that this is a very technically difficult role. We work with some cutting edge technologies and are always pushing the boundaries (e.g. running LLMs on the client). You're expected to work up and down the whole stack. But it's rewarding working on a product loved by many, and the job offers insane flexibility and working hours (only one meeting a week).
Jon Bishop retweeted
Having serious FOMO about RevenueCat's #shipaton hackathon so we're running a 1 time promotion for all the devs building AI apps. We're giving away 2 free months of our starter plan to anyone who signs up to AIProxy with the promo code "shipaton". More details in the vid 📺👀
Jon Bishop retweeted
Are VCs really shifting to the right?
I've heard this a few times and it feels reasonable anecdotally, but I wanted to see the data, so I pulled FEC donation records and cross referenced them with the Midas List.
Here are my key findings:
Jon Bishop retweeted
How much are companies spending on AI? Our latest analysis is revealing, based on aggregated, anonymous data from thousands of @tryramp customers.
The big takeaway? AI tools have gone from experimental to operational. AI-related card transaction volume increased by an incredible 293% year over year, compared to an increase of just 6% in overall software transaction volume. 📈
@OpenAI has the highest customer retention rate and spending growth among leading AI tools. 82% of companies that spent on OpenAI a year ago still spend with them today.
Narrow AI tools—ones with a functional purpose—are gaining popularity. Leading tools in this category include @firefliesai, @elevenlabs, and @InstantlyAI 🤖
Jon Bishop retweeted
We made it! Today is @GoPositional's public launch day! Go sign-up! 📈
But in all seriousness, getting here has been a long road. We did a very hard pivot into Positional 13 months ago. We had spent two years building something that people didn’t want, and we decided to return to our roots… content, SEO, and inbound marketing.
Since at least 2019, Matt and I have wanted to build our own toolset. We were tired of using seven separate tools to do our jobs.
We wanted to connect the workflow from end to end, from keyword research to analytics, and the actions that users take that ultimately drive revenue for a business. With Positional, you can start, grow, and scale your inbound marketing and SEO strategy with a toolset optimized for results — not vanity metrics.
Today, Positional has 11 core features. Of course, we have tools for keyword research and tracking. But we also have a number of really unique experiences and workflows for internal linking, content optimization, content analytics, and mapping buyer journeys.
We have a lot of work left to do, but I’m proud of what we’ve shipped today.
There are lots of thank yous. Thank you to my wife, Emma, who has been so supportive. I call Emma my mini-management-consultant (MMC). Emma has been here for a few startups. Being a startup-founder-significant-other is really hard. Lately, Matt and I have been working some insane hours.
Thank you to Matt for being the best co-founder a guy could have. Thank you to my dog, Jasper, who, despite going on much shorter walks lately, has still been incredibly supportive.
Our team, you guys rock. Post-pivot, things were a little crazy. But we stuck together.
Our private beta customers, thank you for trying us and for signing up early. Many of you signed up way too early, but we’ve really appreciated your feedback, suggestions, bug catches, and patience as we’ve built Positional.
We’ve got some wonderful investors, too. Shout out to @snowmaker, @bradflora, @ycombinator, @lachygroom, @briannekimmel, @pioneer_fund, @grinich, and so many others for giving us the opportunity to build Positional.
Again, we’ve got a lot of work left to do. There are bugs still to catch and new products to ship, but we had to launch. If you sign up today, I’d love to hear your feedback. Plus, if you become a customer this week, you’ll get an awesome 3-pack of SEO-inspired hot sauces (“Link Juice”).
Over the long term, we are working to build the toolset for inbound marketing and GTM. Onward!
Get Started with Positional: positional.com/
Jon Bishop retweeted
Section 174 aims to kill startups — we must take action
Hi everyone 👋 David here, former accountant & CEO/Founder @fondocom (taxes, tax credits, and bookkeeping on autopilot for 1,000+ busy tech founders).
I have a small request for all founders today - it will only take 10 seconds ⤵️
Jon Bishop retweeted
One of the impacts of the ChatGPT adoption I see (as a SaaS founder) is that users started typing questions in any inputs they saw (comments sections, search bars, etc).
The users' familiarity with AI's potential is a great trend, but it also sets the bar higher for SaaS platforms and sometimes forces for questionable UX tradeoffs.
Jon Bishop retweeted
X is currently the #1 Top Downloaded app in the US App Store (iOS, Overall).
Jon Bishop retweeted
✨ @Microsoft's New Future of Work Report just dropped, and it's overwhelmingly focused on how AI impacts every aspect of information work. Adding some highlights below, but strongly recommend taking a look through the slides!
aka.ms/nfw2023
📓 TL;DR - information workers complete simulated information work tasks much faster and with a higher quality of output when using generative AI based tools, with minimal impacts on quality. Experienced workers are less frustrated by mundane tasks, and inexperienced workers have their productivity accelerated.
Learning how to prompt effectively can be challenging. It is important to have strong user experience in the loop, to give users the ability to interrogate outputs and have some insight into uncertainty for outputs. For software engineering, the benefits of LLMs depend quite a bit on the task -- and AI is much more effective when breaking down large, complex tasks into more tractable subtasks.
There is a risk when using LLMs for education that students might use them as "steroids" rather than "coaches".
🚀 Nuggets from the slides:
• People took 37% less time on common writing tasks (Noy & Zhang 2023).
• BCG consultants produced >40% higher quality on one simulated consulting project (Dell’Acqua et al. 2023).
• Users were also 2x faster at solving simulated decision-making problems when using LLM-based search over traditional search (Spatharioti et al. 2023).
Study participants with Copilot completed experimenter-designed tasks in 26-73% as much time as those without it.
• A survey of enterprise users with access to Copilot also showed substantial perceived time savings.
• 73% agreed that Copilot helped them complete tasks faster, and 85% said it would help them get to a good first draft faster.
• Many studies found no statistically significant or meaningful effect on quality.
The study of M365 Defender Security Copilot found security novices with Copilot were 44% more accurate in answering questions about the security incidents they examined.
• Of enterprise Copilot users, 68% of respondents agreed that Copilot actually improved quality of their work.
• Users also reported tasks required less effort with Copilot. In the Teams Meeting Study, participants with access to Copilot found the task to be 58% less draining than
participants without access.
• Among enterprise Copilot users, 72% agreed that Copilot helped them spend less mental effort on mundane or repetitive tasks.
• In studying the staggered rollout of a generative AI-based conversational assistant, Brynjolfsson et al. (2023) found that the tool helped novice and low-skilled workers the most. They found suggestive evidence that the tool helped disseminate tacit knowledge that the experienced and high-skilled workers already had.
As AI is applied to more generative tasks, human work is shifting to “critical integration” of AI output, requiring expertise and judgement (Sarkar 2023). Moving beyond just error correction, AI provocateurs would challenge assumptions, encourage evaluation, and offer counterarguments.
The concept of “microproductivity”, in which complex tasks are decomposed into smaller subtasks and performed in “micromoments” by the person most skilled to do so, can be enhanced through automation (Teevan 2016). For example, Kokkalis et al. (2013) demonstrated that high level tasks broken into multistep action plans through crowdsourcing result in people completing significantly more tasks (47.1% task completion) compared to the control condition of no plans (37.8%). These benefits were scaled by applying NLP algorithms to automatically create action plans for a larger variety of tasks based on a training set of similar tasks, and the plans were further refined through human intervention.
Jon Bishop retweeted
ABC Finder is making moves on Product Hunt today! If you wanna show it some love smash that upvote button 🙌
producthunt.com/posts/abc-fi…
Jon Bishop retweeted
Let's go! ABC Finder is now live on the App Store! apps.apple.com/us/app/abc-fi…
Jon Bishop retweeted
Today we’re live on @lennysan's newsletter with a deeper dive into why freemium failed at @heyequals
If you read our original piece, this one shares a whole lot more. Data. Lessons. Ideas for when it might work.💡
It's 10x better, thanks to many.
lennysnewsletter.com/p/lesso…
Jon Bishop retweeted
I understand why people want to ban TikTok, but I worry that Xi might shut down American products like Facebook and Google in retaliation.
jk China blocked all of those over a decade ago.
Ban TikTok.
Over the past 24 hours, thousands of TikToks (at least) have been posted where people share how they just read Bin Laden’s infamous "Letter to America," in which he explained why he attacked the United States.
The TikToks are from people of all ages, races, ethnicities, and backgrounds. Many of them say that reading the letter has opened their eyes, and they’ll never see geopolitical matters the same way again.
Many of them — and I have watched a lot — say it has made them reevaluate their perspective on how what is often labeled as terrorism can be a legitimate form of resistance to a hostile power.
This is not limited to TikTok; similar videos have been posted on other social media platforms.
The Guardian had a copy of “Letter to America” posted, but once these TikToks went viral, the Guardian took it down, which has only led to more interest in the letter and conspiracies from TikTokers who say this is part of the media and the powers that control it trying to silence the truth.
Jon Bishop retweeted
Recently had the chance to engage with several Chief Data Officers of old legacy, incumbent F500 cos. A common thread?
They all navigated a career landscape where technology and business existed in silos, rarely intersecting.
Jon Bishop retweeted
Excited to launch @cardinalappio and its first, ever, AI Product Backlog 🥳
producthunt.com/posts/cardin…
Our mission is to maximise product teams effectiveness & impact, make builders super-human!
We think it's time product teams listen to their customers better and align on their plans better, and we think AI can play a key role in it.
We've learned a lot in the past 6 months since launch (and @ycombinator), I would like to thank the hundreds of product & GTM leaders which spent their time with us, allowing us to evolve Cardinal further.
Can't wait to see what you'll do with it!
Appreciate any Product Hunt support, retweet and definitely experimenting with Cardinal yourself
Jon Bishop retweeted
The first RedMeetBlue on our tech was today! It's incredible to me that this was nothing three weeks ago, and now there's a working live product with people actually on it. The next beta test will be in a few days. Please sign up on the site to participate!
#buildinpublic
cc @_buildspace for the motivation 👊
Jon Bishop retweeted
New benchmark: What is a good and great free-to-paid conversion rate
Based on a survey of 1,000+ products by @poyark and @OpenViewVenture
Below, find more specific benchmarks including by product type, customer size, and four ways to increase your free-to-paid conversion rate.


































