Andrew Capland

Camp Solo

Camp Solo is a private community for solopreneurs to exchange ideas, share experiences and resources, and find real support through the highs and lows of running your own business - campsolo.co

Co-Founder

Delivering Value

I help heads of growth accelerate their careers with 1:1 coaching, and I help early-stage SaaS teams scale as a product-led growth advisor.

Services include:
* 1:1 coaching for heads of growth
* PLG advising for SaaS teams

I specialize in helping clients who work at small to mid-sized SaaS companies (usually starting around $6-$10 million in ARR). If that sounds like you, send me a message!

I've supported clients from amazing companies like:
copy.ai
Notion
Sprout Social
Pendo
Lusha
Whimsical
Motion

Founder

Delivering Value Podcast

Candid conversations with growth leaders about the setbacks, feedback, and self-doubt that almost derailed their careers - and instead shaped their path to success.

No growth tactics, playbooks, or guides. Just raw stories from the trenches and lessons to help others encountering the same challenges.

Subscribe 👇

Podcast Host

Proof-of-Skill

Product-led Growth Advisor

Protocols

Navattic

Advisor

Happeo

Product-led growth advisor

Contingent

Advisor: product-led growth

Expel

Avrios

Product-led growth Advisor

Coach for heads of growth | PLG advisor | former growth @ Postscript, Wistia, HubSpot

After coaching more than 50 clients, it's become clear... Most Growth Teams face the same struggles:

You’re not always sure which lever to pull to drive meaningful impact.

You don’t have a repeatable operating system, so there's no structured process for prioritizing experiments, aligning across teams, or scaling execution

You're spending too much time convincing instead of executing. You're constantly selling ideas internally, securing resources, and fighting for buy-in.

Your role feels misunderstood because your boss has never done your job, and leadership sees the numbers but doesn’t always recognize the full impact of growth.

You’re ready for the next level but don’t have a clear roadmap to get there.

I'm Andrew

I’m the former growth lead at two high-volume PLG businesses: Director of Growth at Wistia, and Head of Growth at Postscript.

I’ve been where you are.

I’ve built and scaled growth teams from scratch, run hundreds of experiments, and made every mistake in the book. I know what "good" looks like, and I know how overwhelming it can feel without mentorship from someone who's done your job.

Now, I take everything I've learned to help other growth leaders increase their impact and influence.

☎️ Book a call to work with me ☎️
https://deliveringvalue.co/get-started

Delivering Value offers coaching & advising for product-led growth teams.

Because scaling a product-led business is hard. It's a really effective go-to market model, when done right. But, it’s still relatively new and most companies don’t have someone with extensive PLG experience. 

That means you spend a lot of time and money making mistakes trying to figure it out. Or, you feel overwhelmed by all the content out there, trying to teach yourself.

That’s were the idea of Delivering Value was born. To help early-stage tech companies save time by avoiding common mistakes, learn proven frameworks & methods instead of trying to figure it out themselves, & ultimately grow faster.

Services include:
* 1:1 coaching for heads of growth
* PLG advising for SaaS teams
* Digital products for the growth community

I specialize in helping clients who work at small to mid-sized SaaS companies (usually starting around $8-$10 million in ARR), not tech unicorns. If that sounds like you, send me a message!

I'm helping a bunch of people update their resumes. And I'm seeing a new format that’s working right now - it's different from the advice we've been told for years.

The old way was all about results:

- took [thing] from A --> B 
- increased conversion rate of [thing] Z%
- scaled to $XX,XXX MRR

Good stuff for sure.

But without the context of the business (size, stage, gtm model) the reader can't tell if those results are a single, triple, or a home run.

And the same title in growth can mean five different things depending the stuff above too. 

That is why strong candidates keep getting overlooked.

After working with several growth leaders on their job searches in 2025, I started testing a different way to structure their resumes.

What emerged from that experimentation became the CATER framework.

(ironic because everyone says to “cater” your resume to the role. But this actually helps you cater it to what you actually did.)

Here's the gist:

Use one bullet for each
- context: what kind of company you were at (size, stage, GTM)

- accountability / ownership: the KPIs you were responsible for + the surface area you owned

- team: who you managed, how the team changed, who you worked with

- execution + results: what you did and how it went (most resumes start here… which is why they fall flat)

Then you can go deeper with 3-4 bullets for the E/R part of the acronym.

Once you stack your resume in this order, it reads like a cohesive story - and it allows your future interviewers to ask much better questions. 

Curious if anyone else has tried this. It’s been working really well for the folks I’m helping.

ps - I just did a deep dive about this on substack + youtube: https://lnkd.in/edC7NWWB

Coach for heads of growth | PLG advisor | Former 2x growth lead (Wistia, Postscript) | Co-Founder Camp Solo | Host Delivering Value Pod 🎙️

I’m 39. Have 2 kiddos. And run two businesses from Massachusetts 👋

Before this, I spent 12 years growing B2B SaaS companies like Wistia, Postscript, and HubSpot.

Now, I'm growing my own stuff.

Delivering Value (my core business):
- 1:1 coaching for people who lead growth teams
- advising product-led companies on scaling systems
- podcast where growth leaders share their toughest career moments

Camp Solo (my second business):
- private community for ambitious solopreneurs
- members share wins, losses, and build together

Here’s what that looks like day to day 👇

5:45am - wake-up to screaming 17mo old
6-8 am - get everyone fed, dressed, and out the door
9-10 am - workout and shower
10–2 pm - coaching & advisory calls
2–5 pm - creative work and business ops
5:30 - 8 - dinner and family time

Organic content is my growth engine. I:

- share lessons from my 13 yrs in the tenches
- give insights from 85+ coaching clients
- build in public, even though my college friends think its cringy

Running solo looks polished from the outside, but I ride a roller coaster of emotions depending on the moment.

Still, I wouldn’t trade it.

That's a small tax to pay for the freedom of being an entrepreneur.

ps - if you're thinking of going solo, drop your questions below. Happy to share what I’ve learned so far.

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If you like to…

explain your job to everyone you work with (again and again)
constantly beg for resources (and get told “not this quarter”)
feel like you’re the only one prioritizing the business over personal agendas

…might I recommend a career in growth?

The great paradox of career growth: 
People who get promoted fastest tend to do less, not more.

- they're not volunteering for every new opportunity
- they're not working the most hours
- they're not the most responsive

They’re choosing the right opportunities. And making sure everyone knows WHY those choices matter.

I’ve seen this pattern again and again.

First as someone who climbed from IC to Head of Growth.
Now as a coach to dozens of growth leaders doing the same.

Promotions don’t go to the hardest workers doing the most units of work.
(at least not once you reach Director or VP level)

They go to the people who create the most impact. 

I recorded an 11-minute video breaking down the four habits that separate high performers from everyone else, including how to:

align perfectly with your boss
protect your focus
manage up like a pro
make your work visible (without playing politics)

watch it here: 
https://lnkd.in/evABPJ8T

Signup page: your trial expires in 14 days
In-app banner: your trial expires in 14 days
Welcome email: your trial expires in 14 days
The SDR: “you have 14 days to enjoy your trial”

Someone, writing into support:

“Hey, how long is the trial?”

I’ve made all of these mistakes as a former 2x head of growth:

- I created sweet dashboards nobody used.
- I kept weak experiments alive way too long.
- I over-engineered work that could’ve been quick/scrappy.
- I wasted time on projects when I should have pushed back instead.
- I scoped work to the resources I had (instead of advocating for the resources I really needed)

Each seemed small at the time. 

But over months and years, these little mistakes add up. Learning to spot (and fix) them was a turning point. 

Sometimes the most important lessons aren’t the latest tactics, channels, or frameworks.

What’s the small mistake you wish you had caught earlier?

Ionio

I run Ionio - We are a GPT4 & LLM, AI consulting company. We specialize in training, integrating & deploying LLMs (GPT4, ChatGPT, Alpaca) and other generative AI technologies into existing products and services - enabling up to 20x increase in efficiency and up to 90% operational automation.

Our end-to-end solution covers everything from ideation, development to seamless integration in 6-10 weeks. Value-based billing. 10x ROI Guarantee.

• We built Pumice.ai for Width.ai, a GPT4-powered E-Commerce taxonomy SaaS built with Python - React, Celery, Django, Redis, AWS & Docker in ~10 weeks.

• We helped ClearlyTrained with the strategy, research, ideation & product design of their in-house GPT4-powered eLearning Content solution in 4 weeks. GPT4, Python & NodeJS.

• We built Revvyco.com, an AI-powered revenue optimization platform in for a real-estate consultancy in Utah. Revvy runs on Django, React, Celery, Redis, AWS & Docker and was built in ~16 weeks with a team of 3.

• We built HypeMail.io, an AI-powered cold emailing SaaS built with Python - Flask, React, Celery, Redis, Docker, and AWS in ~12 weeks with a team of 5.

• We built FIT24TW Platform, a fitness startup based in Taiwan - 2 iOS/Android apps & 3 websites based on NodeJS, Flutter, Webflow & Docker in ~12 weeks per entity with a team of 4.

Send me a DM to brainstorm your AI strategy! 🛠

Founder & CEO

SmartCow

• Lead architectural, database, AI/DL and UI/UX design on various Full-stack Applications, built with Python and JavaScript
• Contribute to engineering efforts from planning and organization to execution and delivery to solve complex engineering problems.
• Manage individual projects priorities, deadlines, and deliverables
• Enforcing and maintaining code quality, and limiting technical debt through code reviews.
• Promote a culture of learning within the company, by mentoring, training colleagues, creating learning paths - modular projects which can be used to learn, teach, sharpen skills and then be integrated into production.

Senior Software Engineer

• Architect, develop and optimize the middleware, UI and storage microservices for edge systems.
• Design, build, test, and deploy software for internal and external use
• Ensure the continuous availability and throttling the downtime of core internal frameworks. 
• Design and implement scalable APIs and web services 
• Build dependable test cases and robust CI pipelines for multiple codebases

Software Engineer

Pseudtech Technologies Pvt.Ltd .

• Head research on the entire software side of several pilot-projects.
• Work with Python's leading web frameworks - Django and Flask with Heroku, AWS - S3, RDS and Google Cloud's App Engine to create software products to drive growth
• Work on Computer Vision and Deep Learning projects using OpenCV, Tensorflow, and Keras.
• Design several embedded Linux products including a (Facial Recognition Doorbell) using the Raspberry Pis and Python
• Work with AWS, Google App Engine, Angular and S3 to bootstrap a simple web application to monitor employee productivity
• Creating Facial Recognition POVs utilizing Microsoft Azure's Cognitive Services
• Contacting vendors and suppliers to acquire the resources needed for projects
• Work with Motor Drivers, Servos and Relays to create IOT devices which integrate seamlessly with the company's internal infrastructure. - IOT SwitchBoard
• Creating numerous software POCs and beta projects to meet the requirements.

• Understanding the workflow and commonly faced business problems
• Maintaining existing web apps and routine maintenance.
• Developing small tools and utilities for the upper management to help them automate office tasks.

Junior Software Engineer

Self-Employed

• Developed a Java and JavaFX Desktop App to manage a database of Fixed Deposits of Customers, added SMS integrations, encryption, and FTP Backups

• Created a corporate website for an investment firm using BootStrap, HTML, CSS, configured DNS, CPanel, and optimized it for SEO

• Created a desktop automation software using AutoIT that automated a BPO job of 3 Shifts of unskilled workers working 24x7, saving the client 33% in expenses and increasing efficiency by 50%

• Developed a Python Application to preprocess data received over the network and display it on the screen using PySide and PyQT.

Helping non-tech businesses build software products in 8-12 weeks | DM me your app ideas | Owner - Ionio |

Hi, I'm Rohan! I run Ionio. We are an AI consulting company specialized in LLMs training & deploying, building AI agents & Generative AI. We publish research on our site. Google "Ionio Research"

Our end-to-end solution covers everything from ideation, development to seamless integration in 6-10 weeks.

We are currently doing exactly this for our clients in the SaaS, eLearning, real-estate, fitness & lead generation space. 

Here's what they have to say :)

“We’ve had the opportunity of working with best full stack software engineering company in the biz.  Ionio makes it happen”.
- Greg Warner - Founder - Revvy 🏢

"Working with Ionio has been a game-changer for my business. The way they can take my vision and turn it into a reality better than I imagined is second to none".
- Thomas Manwaring - Founder - HypeMail 📧

“The Ionio team is just fire. Want something done fast? “Yep Yep”. Want something cool and innovative? “We can do that”. Nothing is beyond their reach....”.
- Brooke Daye - Founder - FIT24 🏋🏽‍♂️

Case Studies 👇🏽

• We built a Revvy, a revenue optimization platform in 4 months with a team of 3 engineers for a real-estate consultant in Utah. Property management companies pay a monthly recurring fee to use it. Saved +7.5 hours/week/client, automated 85% of the service

• We built the entire technical infrastructure for FIT24, a fitness startup based in Taiwan - 2 iOS/Android mobile apps & 3 websites in 5 months with a team of 4. Automated away +25 hours/week at the reception desk, saved +40 hours/week total

• We built HypeMail, an email outreach tool for small digital agencies with our client Thomas Manwaring. Took us 5 months & a team of 3. Agencies now pay a monthly recurring fee to use it. Automated away 7.5 hours/week of sales

Drop me a DM if you'd like to brainstorm your AI strategy. 🤖

Previously, I worked as a Software Engineer at SmartCow, an AI company. Before, that I worked in Python for a startup in Mumbai. Before before that for family friends, building websites & apps in Java. Been at this since I was 15 :)

Rohan Sawant

“Chatbots for ecommerce don't work.”
There I said it…

Since 2023, we have been paid tens of thousands of dollars to build exactly those. 

We’ve built, launched, and analyzed dozens of ecommerce chatbots for small DTC brands, retail giants, and marketplaces. 

After reading through thousands of real customer conversations, one brutal truth keeps surfacing, now in almost-2026.

But before you cancel your chatbot project, let me add the nuance: they can work—but almost never in the way we originally imagined.

The flawed assumption we all made

Back in 2024/25. We thought users would land on a merchant's site and ask the AI, "What's the best running shoe for me?" or "Help me find a gift under $50." 

We assumed they'd treat it like an unbiased shopping assistant.

Here's why that falls apart:
Trust is dead on arrival. Users aren't naive. 

They know a brand's chatbot will only recommend that brand's products. The "unbiased advisor" pitch was never believable.

Quality control is a nightmare. Even if you wanted unbiased advice, how do you verify the bot's answers?

One hallucination about material safety or sizing, and you're facing a PR disaster.

The mobile experience is terrible. 70% of traffic is mobile. 

Nobody wants to type full sentences into a tiny corner widget on their phone. It's clunky, slow, and frustrating.

ChatGPT already won. 
Why would I use your chatbot when I already have the ChatGPT app? 

It knows my style, my budget, my quirks—I talk to it for hours. Your bot doesn't know me and never will.

So where do chatbots actually work?

Here's the pivot: Discovery within a brand.

When a customer is already on your site—because they love your aesthetic or trust your quality—they don't need selling. They need navigating.

Example: "Build me a complete work-from-home outfit using only your new collection." Or, "Show me everything in muted olive green."

This is where conversational AI shines. Not as a shopping advisor, but as a personal catalog curator.

The implementation fix nobody's talking about - 
Stop putting chatbots in the bottom-right corner.

That's not where discovery happens. Discovery happens in the search bar.

We're working on a POC that moves the conversation into search. 

Users type naturally, the AI responds with products inline, and it feels like upgrading search—not adding another layer.

The lesson? Don't fight ChatGPT. Don't try to replicate it. Instead, make your own discovery experience better.

Bottom line: The future isn't a chatbot that talks. It's a search bar that listens.

Agree? Disagree? Have you seen chatbots work differently? Let me know in the comments.

#chatbots #ecommerce #ai

CEO & Founder | AI, LLM & NLP Consulting | Training, Deploying & Scaling GenAI Applications

We predicted this. "Shopping Research" in ChatGPT just launched —an deep research experience that asks clarifying questions, scours the web, and delivers personalized buyer guides in minutes.

We mapped this exact trajectory months ago.

Our white paper predicted how foundation model companies would evolve from assistants to autonomous shopping agents, and why this signals the end of the SaaS dashboard as we know it.

In 24 months, your most engaged customers will be the ones who never log in at all.

The three-layer architecture we outlined—Agent-to-Site → Agent-to-Agent → Broker-Agent-to-Site—is unfolding in real-time. 

OpenAI just made Layer One consumer-facing.

Layer Two (Merchant APIs) and Layer Three (Broker Agents) are next.

For retail & e-commerce SaaS platforms, this isn't a feature update. It's an existential pivot:

• GEO (Generative Engine Optimization) becomes table stakes
• GXO (Generative Experience Optimization) decides who wins the transaction
• Your moat isn't UI/UX anymore—it's how easily AI agents can negotiate with your backend

We've spent 5 years building agent-ready architectures for 40+ platforms. The 2-year window we predicted is now a 2-year deadline.

Is your platform is architected to survive this & the dozen other upcoming launches shaping how we shop?

Like + comment anything on this post and I'll DM you our full strategic briefing. Drop me a DM if you want to discuss what this means for your roadmap.

You're running an e-commerce brand with 1,000+ SKUs.

Every time you launch a new product, someone has to manually figure out what bundles well with it.

Your merchandising team is buried in spreadsheets. Your agency doesn't have direct access to product data. 

And the marketing team is waiting on three approvals just to update a "Frequently Bought Together" section. Sound familiar?

The problem with manual bundling at scale:
→ Hundreds of possible combinations per product 
→ Multiple teams, zero coordination 
→ Legacy systems that don't talk to each other 
→ Incomplete product data everywhere

We built a dynamic bundling system that sits on top of your existing setup. No massive overhaul needed.

When someone views a coffee maker, the system thinks: "They're trying to make coffee. What else do they need?" 

Then it suggests coffee beans, filters, grinder. Contextual, not random.

Someone buying gym shoes and a fitness tracker? Gets tagged as fitness enthusiast. 

Now protein bars and organic foods show up in their bundles.

The system runs in the background. Adapts to inventory changes, seasonal shifts, new SKUs. 

Your team focuses on growing the business instead of managing bundle spreadsheets.

We've deployed this for mid-market e-commerce brands dealing with exactly this operational nightmare.

If you're juggling thousands of SKUs and bundling feels impossible to scale, let's talk.

#ecommerce #productbundling #aitools #retail #skumanagement

"If ChatGPT can answer product questions better than your site can, why would anyone visit your site first?"

ChatGPT Shopping dropped last week. (Something we predicted, 1st white paper)

Now, we are writing our 2nd predictions essay, "The Aftermath" - where the industry goes next and the ripple effects on marketplaces, brands, and the SaaS companies that serve them.

Fellow men & women leaders in retail & ecom.  Have you considered the 

-  EFFECT of the impending shopping assistants roll-out?

- IMPLICATION of chatgpt ads for your business?

- CUSTOMER STRATEGY for what will be the most demanding, inquisitive buyers of the melliania -  customers who now expect instant, perfect answers just like they get from their "AI".

Drop me a message, comment, start a conversation what do you think, where is the space going? First impressions?

"Where do you see this space going in the next 12 months?"

I will be picking the best insights to feature in the final essay.

it has burnt a hole in my retinas yes.

taplio

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The Battle

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