planned-endpoints

🧠 1. Gamified Auth Model (Easter Egg Unlocks)

You asked: How do I make discovering the auth system feel rewarding?

✅ Idea: Content-locked Auth

• Anonymous users can view most (or all) content.

• Certain pieces contain {auth=required} or {auth=adminsOnly} sections.

• The first time they encounter such a section:

  “🪄 You’ve stumbled upon something hidden. Want to unlock access? You’ll need to find the [mystery X].”

• Once they trigger enough easter eggs → account unlock.

Mechanics:

• Track a session-based count of easter eggs found.

• On egg #N (e.g., 3 or 5), show the “Sign Up Now Unlocked” modal.

• Upon registration:

  • Store user rank (e.g., visitor, unlocked, contributor, admin) in DB.

---

🔧 2. Access Control Markup Tags

Your {auth=adminsOnly}, {auth=basicUser} idea is 🔥 and easily parseable.

Implementation:

Store this metadata in each note:

{
  "auth": {
    "level": "basicUser",
    "scopedTo": ["section-3", "comment-form"]
  }
}

Or inline as markdown directives:

:::auth basicUser
This comment section requires a basic user account.
:::

At API level, you'd apply row-level filtering + dynamic section stripping based on user role.

---

🗃 3. Community Feedback: EAV Tables

You’re spot-on here — keep it simple:

✅ Feedback Table Design

CREATE TABLE feedback (
  user_id UUID,
  content_group TEXT, -- e.g., 'proto_product', 'book_review'
  item_id TEXT,
  vote_direction TEXT, -- 'upvote', 'downvote'
  comment TEXT,
  created_at TIMESTAMP,
  updated_at TIMESTAMP,
  PRIMARY KEY (user_id, content_group, item_id)
);

Add a last_changed_vote_at if needed. You don't need SCD type 2 unless you want to build analytics on vote history (which you're rightly ignoring for now).

---

📚 4. Planned API Groupings

Comment and Vote:

Pk-ToDo think about this a bit more... e.g. nested comments

Action	Endpoint
Comment	POST /comment?:<article-id>
Vote	POST /vote?:<entity:article_or_comment>&<id>

🧠 Language Hacks

Action	Endpoint
Get fluency	GET /language-hacks/:id/fluency
Vote fluency	POST /language-hacks/:id/vote-fluency

---

📚 Book Reviews

Action	Endpoint
View	GET /book-reviews/:id
Upvote	POST /book-reviews/:id/vote
Comment	POST /book-reviews/:id/comment

---

🎤 Interview Questions

Action	Endpoint
Add	POST /interview-questions
View	GET /interview-questions
Vote	POST /interview-questions/:id/vote

---

🧪 Proto Products

Action	Endpoint
Upvote	POST /proto-products/:id/vote
Comment	POST /proto-products/:id/comment

---

🧠 My Content (Personal Bookmarks & Playlists)

Some times the entire markdown will be built via data... (like for these ones)

Action	Endpoint
Get Bookmarks	GET /bookmarks/<category>
Get Youtube Playlists	GET /playlists/<category>

---

🛠 5. API Architecture

You mentioned:

Normal Docker container setup on EC2

SSR v. Client Side

(I plan to go with the mixed model)

Ah — now we’re at the core rendering split: You're not just choosing between Django and Go — you’re really choosing between server-side rendering (SSR) and client-side composition (API + hydration).

Let’s clarify the real decision you're facing.

---

🧠 Your Options in Plain Terms

✅ Option 1: Store Raw Markdown in a Table, Build on Fetch (SSR or Static)

• Render full document (auth-filtered + hydrated) before sending to client
• Embed vote count, comments, etc. at fetch time

Pros:

• 🔒 No leakage — content is built server-side, scoped to the user
• 🧩 Can render with partials (template macros, includes)
• 🐌 Easier caching + snapshotting
• 😅 But rendering gets heavier as logic grows

---

✅ Option 2: Client-Side Composition

• Deliver raw markdown (filtered or not)

• Then use API calls to:

  • Get vote count
  • Get comments
  • Maybe even hydrate {auth=basicUser} sections

Pros:

• 🧠 More modular, React-friendly
• ⚡ Initial load is faster (if markdown is small)
• 🤖 More dynamic behavior (updating votes/comments live)
• 😬 More moving parts, possibly duplicated logic

---

💥 Your Real Fork:

You Want...	Pick This
Fast static preloading	SSR / prebuild
Central control of content per user	SSR / Django View
Fine-grained interactivity	Client-side
Live updates to votes/comments	Client-side + API
Simplest full-stack auth filtering	SSR
Markdown-as-JSON-store + dynamic pieces	Client-side rendering

---

🧩 Mixed Model: Best of Both?

You could:

1. Server-side filter + deliver "base" markdown

   • Handles {auth=...} stripping

   • Possibly pre-injects placeholder markers like:

     <!-- VOTE_COUNT:bookReview_id_1 -->

2. Client parses placeholders + injects live components

   • Think: comment widget mounts on <!-- COMMENT_BLOCK:id -->
   • Votes update dynamically via useEffect

This way:

• SSR controls security
• Client handles live UX

---

✅ Solution

Django + Markdown in DB + SSR for delivery Then client-side APIs for hydration (votes/comments)

That’s:

• The most secure
• The most efficient for preloading
• Still dynamic when needed

---

Let me know if you want help structuring:

• A Django Note model with raw_markdown, uuid, etc.
• A filter_markdown(request.user, raw) function
• JS/React that looks for <!-- COMMENT_BLOCK:x --> and injects components

This hybrid model is 🔥 and scales well as your features grow.