HockeystickyWaitlist

Hockeysticky vs Lindy: growth autopilot or general AI agent platform?

Both tools use AI agents to take work off your plate, but they start from different places.

The short version

A general agent platform such as Lindy

Built to automate many kinds of work. You decide which jobs to automate, then set up the agents, instructions, connections and checks for each one.

Hockeysticky

Built for one job: getting an early-stage product found and turning visitors into sign-ups. The growth structure is part of the product, so you don't build it yourself.

The right choice depends on whether you want a broad toolkit to shape yourself or a growth system that is already shaped.

At a glance

Question Hockeysticky A general AI agent platform (the category Lindy belongs to)
What is it for? Growth for early-stage products, starting with getting found Automating many kinds of work, chosen by you
Where does the growth strategy come from? A playbook tailored to your product, audience and evidence, ranked by what to try first You define the strategy, then configure agents to carry it out
How does a release become growth work? The release-to-growth engine reads the release and product context, then proposes plays You build the trigger, the context and the steps
How do you know what worked? Outcome tracking reports qualified visits and sign-ups by play, and feeds learnings into the next playbook You decide what to measure and how to wire it up
Who approves what goes out? You approve everything before it goes live or sends, within guardrails you set Depends on how you configure each agent
What is the learning curve? Connect your code, website and blog, then review proposals Learn the platform, then design each workflow

What is pre-built for growth in Hockeysticky

A tailored playbook, not a template library

Hockeysticky builds a playbook around your product, audience and evidence, ranks the plays by what to try first, and updates it as you learn. Each playbook has one key metric, a motion fit and the tools it needs. The playbooks currently cover two goals, Awareness (getting found) and Trial (turning visitors into sign-ups). Onboarding, retention and expansion are marked as coming.

Plays for awareness

The site lists these: content you own (blog posts, docs and website pages); comparison and alternatives pages; content on other platforms; creator partnerships; paid traffic; customer outreach; live conversations; buying and trial intent signals; community.

Release reading

Every release is treated as a growth moment. Hockeysticky reads the release, product context and audience, proposes plays and channels, executes within your guardrails, then measures and improves the next playbook.

Outcome tracking

Results are reported as qualified visits and sign-ups by play. Each playbook is tied to a trackable path so sign-ups can be attributed to the content, outreach, partnership or campaign behind them.

Controls and routines

Approval and autonomy controls decide how much runs without you. A weekly growth review routine can check releases, traffic and market signals and flag new opportunities.

Stack connections

Where you work Tools listed
Where you build GitHub, Lovable, Cursor
Where you find and reach people Apollo, Gmail
Where you measure Google Analytics 4
Where people search Google Search Console, Bing Webmasters, IndexNow

What a general agent platform asks you to configure

1

The strategy

Which channels to try, in what order, for which audience.

2

The triggers

How a new release or market signal starts a workflow.

3

The context

What the agent knows about your product, voice and audience, and how that stays current.

4

The steps

Drafting, publishing, outreach and follow-up, each connected to the right tools.

5

The guardrails

What needs your approval and what can run alone.

6

The measurement

How results map back to a specific play, and how that changes what happens next.

This gives you flexibility. You can point the same platform at jobs well beyond growth. The cost is the time to design, test and maintain each workflow, which many solo builders would rather spend shipping.

Who should pick which

Hockeysticky may fit if you:

  • are a solo founder or tiny team shipping with AI coding tools and have few or no users
  • don't know which growth channel to try first
  • want each release to turn into content, outreach and launch material with you approving drafts
  • want results reported as qualified visits and sign-ups by play

A general agent platform may fit if you:

  • want to automate many kinds of work, not only growth
  • already have a growth strategy and want to build the workflows yourself
  • enjoy designing automations and have time to maintain them

If a growth-specific autopilot sounds like the better fit, join the Hockeysticky waitlist. You approve everything before it goes live or sends.

Before you decide

Check Lindy directly

Review current capabilities, integrations and pricing at lindy.ai, and ask whether the growth work you want is something you would build yourself or something you want pre-built.

Know where Hockeysticky is today

Access is invite-only and there is a waitlist, with one month of early access and an early-bird discount for people who join. Pricing is being validated around outcomes: qualified visitors and sign-ups, not activity delivered. The site's "typical potential" ratings on playbooks are an editorial view for a solo founder or small team over about 90 days, not measured results.

Know the scope

Hockeysticky starts with getting found. Onboarding, retention and expansion are on the roadmap, not available today.

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