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Don't start with Notion before you know this, scaling, security and API delays thumbnail

Don't start with Notion before you know this, scaling, security and API delays

Tools on Tech·
5 min read

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TL;DR

Notion’s limited automation means workflow rules often remain outside the system, increasing errors as teams scale.

Briefing

Notion’s biggest bottleneck for teams isn’t its templates or databases—it’s the lack of practical automation and granular security controls, paired with long delays around a promised public API. That combination forces logic and safeguards to live in people’s heads, which works for small groups but becomes brittle as headcount grows, turning collaboration into a cycle of explaining systems and cleaning up mistakes.

On automation, Notion can generate templates and use formulas, but it can’t reliably enforce workflows like “when a button is pressed, move a due date” or “notify the right person when action is required.” The result is that the operational rules remain outside Notion. As teams scale, that gap matters: processes that should be encoded into the system instead get transmitted informally, increasing the odds of errors—especially when more people are involved and “telephone game” misunderstandings creep in.

Security and permissions are framed as the second scaling limiter. Notion lacks straightforward ways to block access to specific sections of a page. Workarounds exist—page locks, database locks, versioning to roll back, or read-only filtered pages—but they become harder to maintain once multiple people need to work in the same space. The tradeoff becomes clear: teams either lose control (by removing locks) or lose productivity (by getting stuck behind restrictions). The broader point is that software used by groups needs “checks and balances” to prevent bad data and mistakes, not just organizational flexibility.

That leads to the API delay. Notion’s promised “API” (referred to as “appy” in the transcript) has been in limbo for more than two and a half years, with open beta still months away. The speaker argues that a public API is already effectively present in some form—network traffic analysis suggests the app talks to a backend via an API endpoint—so the delay likely stems from where Notion’s logic lives. A key suspicion is that much of the workflow logic (filters, calculations, input sanity checks like ensuring a date field is truly a date rather than text) sits in the front end. Making that logic available through a public API would require moving it to the backend or duplicating it safely, which is nontrivial.

There’s also a structural risk: once an API is public, it can’t be changed casually because external software depends on it. Even with versioning (Notion is described as being at “version 3”), maintaining backward compatibility is expensive—compared to the long-term support burden seen in large ecosystems like Microsoft’s continued support for older Windows versions.

The transcript’s prescription is blunt: if someone is waiting for Notion’s API, they should start planning with alternatives such as Coda. The speaker also lays out what would fix the situation—move logic into the backend, enable block-level locking, and support controlled extensibility (for example, add-ons or buttons that trigger external actions) while keeping Notion’s core simplicity. For anyone already using Notion or considering it, the advice is to test migration risk by exporting to Markdown and CSV, and to be deliberate about how much of the “real” data model depends on Notion-specific property structures.

Cornell Notes

Notion’s scaling problems come from two gaps: workflows and safeguards aren’t enforced inside the product. Automation is limited to templates, filters, and formulas, so operational logic stays in people’s heads—an approach that breaks down as teams grow. Security is also described as insufficient for blocking access to specific page sections, forcing teams into workarounds that eventually either slow work or get bypassed. The promised public API has been delayed for years; the transcript suggests the delay is tied to where Notion’s logic currently runs (front end vs backend) and the difficulty of making a stable, backward-compatible interface for external developers. The practical takeaway: don’t wait—plan for alternatives and test export/migration early.

Why does limited automation become a scaling problem for teams?

Notion can create templates and use formulas, but it can’t encode “if this happens, then do that” workflow logic like shifting due dates when a button is pressed or notifying someone when action is required. In small groups, people can remember and follow the rules. As headcount rises, those rules must be communicated repeatedly, which increases mistakes and creates a cycle of explaining and correcting work rather than executing it reliably.

What security limitation is highlighted, and why do the workarounds fail at scale?

The transcript says Notion lacks the ability to block access to a certain set of a page (section-level control). Workarounds include page locks, database locks, versioning to roll back, and read-only filtered pages. Those approaches become hard to sustain when multiple people need to collaborate in the same area—teams either get stuck behind locks or remove them, undermining data protection.

What does the transcript claim about Notion’s API delay, given that an API seems to exist already?

Even though a public API has been promised for over two and a half years and open beta is still months away, the transcript claims network traffic analysis shows Notion already calls an API endpoint (searching for “appy” reveals the line where it fetches data). The argument is that the public API is delayed because Notion’s workflow logic may be concentrated in the front end, and exposing it safely requires moving or duplicating logic in the backend.

Why is making an API public harder than it sounds?

Once external developers depend on an API, it can’t be changed freely without breaking integrations. The transcript notes that Notion’s versioning (described as “version 3”) helps, but backward compatibility still demands ongoing effort—likened to Microsoft’s long support tail for older Windows versions. That maintenance burden can slow releases.

What “fixes” does the transcript recommend for Notion to become more team-ready?

Three remedies are proposed: (1) move logic into the backend so extensions can behave robustly, (2) allow locking of blocks so teams can control what’s changeable while keeping the core simple, and (3) enable extensibility through add-ons or buttons that trigger external actions—adding functionality without turning the core product into a complex platform.

What migration-risk advice is given to users considering Notion (or planning for the future)?

Users are advised to run a small export using Markdown and CSV to see what can be imported elsewhere (like Excel). The transcript suggests using a database with properties or treating Notion as a wiki with mostly content, because Notion’s property setup is powerful but hard to migrate. It also warns that the API might never arrive or might take time to become fully usable.

Review Questions

  1. What kinds of workflow logic can Notion handle well with templates and formulas, and what kinds require external automation?
  2. How do section-level access limitations and the described workarounds affect productivity as teams grow?
  3. What technical and maintenance reasons does the transcript give for why a public API can take years to ship?

Key Points

  1. 1

    Notion’s limited automation means workflow rules often remain outside the system, increasing errors as teams scale.

  2. 2

    Lack of block/section-level access control forces teams into workarounds that become impractical when collaboration intensifies.

  3. 3

    Public API delays are framed as stemming from where logic currently lives (front end vs backend) and the cost of maintaining backward compatibility.

  4. 4

    A public API can’t be changed casually because external apps depend on stable behavior, even with versioning.

  5. 5

    If someone is waiting for Notion’s API, the transcript recommends planning with alternatives like Coda instead.

  6. 6

    Users should test migration risk early by exporting to Markdown and CSV and checking what imports cleanly into tools like Excel.

  7. 7

    Scaling requires shared operating procedures; changing them later is hard because it requires retraining everyone’s way of working.

Highlights

The core scaling claim: templates and formulas aren’t enough when workflow logic and safeguards stay in people’s heads.
Security is portrayed as a practical blocker—section-level access control is missing, and workarounds degrade under real team usage.
Despite years of delay, the transcript argues Notion already communicates with a backend via an API endpoint, implying the public API is held back by engineering and compatibility constraints.
The recommended alternative path is immediate: export to Markdown/CSV to understand migration limits and consider other tools if API-dependent automation is needed.

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