u/armanmax11

Three weeks ago I opened a client project I hadn’t touched since the last sprint, and I had zero memory of why I’d chosen the approach I did. Client asked “why didn’t we just do X instead” — and I couldn’t give a confident answer. That’s billable time spent re-deriving context I already had once.

This happens constantly if you juggle multiple clients/projects as a freelancer or consultant. Task managers show you \\\*what’s\\\* due. Nothing captures \\\*why\\\* you made a call, what led to it, or what should happen next — so every context-switch back into a project costs you time you can’t bill for.

I built ContextOS to fix this specifically. It’s not a project tracker — it’s built around a 30-second “shutdown ritual” at the end of a work session (what you finished, any blocker, any decision made) so when you come back days or weeks later, you get a briefing that reconstructs the \\\*reasoning\\\*, not just a task list.

Still early — looking for freelancers/consultants who’ve felt this exact pain to try it and tell me if it actually saves the re-context time it’s supposed to. \\\\\\\[link\\\\\\\]

A few notes on why it’s built this way:
Opens with a specific, relatable moment (r/micro\\\\\\\_saas rewards founder-story hooks over product pitches)

Names the mechanism (30-sec ritual) briefly — enough to be credible, not enough to read as a feature dump

Ends with a direct ask to a named audience, not a generic “check it out”

Want me to also draft 2 alternate hook variants (different pain angles) so you can test which pulls clicks?

Three weeks ago I opened a client project I hadn’t touched since the last sprint, and I had zero memory of why I’d chosen the approach I did. Client asked “why didn’t we just do X instead” — and I couldn’t give a confident answer. That’s billable time spent re-deriving context I already had once.

This happens constantly if you juggle multiple clients/projects as a freelancer or consultant. Task managers show you \*what’s\* due. Nothing captures \*why\* you made a call, what led to it, or what should happen next — so every context-switch back into a project costs you time you can’t bill for.

I built ContextOS to fix this specifically. It’s not a project tracker — it’s built around a 30-second “shutdown ritual” at the end of a work session (what you finished, any blocker, any decision made) so when you come back days or weeks later, you get a briefing that reconstructs the \*reasoning\*, not just a task list.

Still early — looking for freelancers/consultants who’ve felt this exact pain to try it and tell me if it actually saves the re-context time it’s supposed to. \\\[link\\\]

A few notes on why it’s built this way:
Opens with a specific, relatable moment (r/micro\\\_saas rewards founder-story hooks over product pitches)

Names the mechanism (30-sec ritual) briefly — enough to be credible, not enough to read as a feature dump

Ends with a direct ask to a named audience, not a generic “check it out”

Want me to also draft 2 alternate hook variants (different pain angles) so you can test which pulls clicks?

Three weeks ago I opened a client project I hadn’t touched since the last sprint, and I had zero memory of why I’d chosen the approach I did. Client asked “why didn’t we just do X instead” — and I couldn’t give a confident answer. That’s billable time spent re-deriving context I already had once.

This happens constantly if you juggle multiple clients/projects as a freelancer or consultant. Task managers show you *what’s* due. Nothing captures *why* you made a call, what led to it, or what should happen next — so every context-switch back into a project costs you time you can’t bill for.

I built ContextOS to fix this specifically. It’s not a project tracker — it’s built around a 30-second “shutdown ritual” at the end of a work session (what you finished, any blocker, any decision made) so when you come back days or weeks later, you get a briefing that reconstructs the *reasoning*, not just a task list.

Still early — looking for freelancers/consultants who’ve felt this exact pain to try it and tell me if it actually saves the re-context time it’s supposed to. \[link\]

A few notes on why it’s built this way:
Opens with a specific, relatable moment (r/micro\_saas rewards founder-story hooks over product pitches)

Names the mechanism (30-sec ritual) briefly — enough to be credible, not enough to read as a feature dump

Ends with a direct ask to a named audience, not a generic “check it out”

Want me to also draft 2 alternate hook variants (different pain angles) so you can test which pulls clicks?

Three weeks ago I opened a client project I hadn’t touched since the last sprint, and I had zero memory of why I’d chosen the approach I did. Client asked “why didn’t we just do X instead” — and I couldn’t give a confident answer. That’s billable time spent re-deriving context I already had once.

This happens constantly if you juggle multiple clients/projects as a freelancer or consultant. Task managers show you what’s due. Nothing captures why you made a call, what led to it, or what should happen next — so every context-switch back into a project costs you time you can’t bill for.

I built ContextOS to fix this specifically. It’s not a project tracker — it’s built around a 30-second “shutdown ritual” at the end of a work session (what you finished, any blocker, any decision made) so when you come back days or weeks later, you get a briefing that reconstructs the reasoning, not just a task list.

Still early — looking for freelancers/consultants who’ve felt this exact pain to try it and tell me if it actually saves the re-context time it’s supposed to. [link]

A few notes on why it’s built this way:
Opens with a specific, relatable moment (r/micro_saas rewards founder-story hooks over product pitches)

Names the mechanism (30-sec ritual) briefly — enough to be credible, not enough to read as a feature dump

Ends with a direct ask to a named audience, not a generic “check it out”

Want me to also draft 2 alternate hook variants (different pain angles) so you can test which pulls clicks?

I’m a solo developer and I’m usually juggling 4–5 projects at the same time.

The hardest part wasn’t getting interrupted.

It was coming back a week later and asking myself:
“What was I doing?”

GitHub tells me what changed.

My AI chats forget the conversation.

Notion has notes, but not the reasoning behind decisions.

So I started building something with one goal:
Resume any project in about 30 seconds.

Instead of trying to replace GitHub or a task manager, it builds a project memory:
- Session history
- Technical decisions
- Current blocker
- Next action
- GitHub activity
- AI-generated Resume briefing

The idea is that after two weeks away, I press Resume and immediately know:
- What I was working on
- Why I made certain decisions
- Where I got stuck
- What I should do next

I recently added GitHub integration and a Copy Context feature that formats the project’s current state for Claude, ChatGPT, or Gemini.

I’m still validating whether this solves a real problem or whether I’m just scratching my own itch.

I’d love honest feedback from other founders here.

- Is this a problem you’ve actually experienced?
- If so, how do you solve it today?
- What’s the one thing that would make you actually use a tool like this instead of GitHub + Notes?

If you’d like to see it in action, I’d be happy to share a short demo in the comments.

I juggle several projects at once, and I kept noticing the same pattern: the first 30–60 minutes of any work session wasn’t work. It was reconstruction. What was I doing? What did I decide last time? Why did I decide it? Which option did I already rule out?

It got worse when AI tools became part of my workflow, because every new chat session has total amnesia. I was re-explaining project context to ChatGPT/Claude multiple times a day — the same background, the same constraints, over and over.

Things I tried:
**1. A “status” doc per project** — works in theory, dies in practice because updating it after every session requires discipline I don’t have at 11pm.
**2. One giant running log** — became write-only. I never read it back.
**3.Just relying on memory** — fine with 2 projects, collapses at 5+.

What finally worked was changing *when* the capture happens: a 30-second log at the end of a session (“did X, decided Y, next is Z”) instead of a status doc I maintain separately. The end-of-session moment is the only time the context is all in your head anyway. Then at the start of the next session, I read the last 2–3 entries and I’m back in it within a couple of minutes instead of an hour.

I eventually built a small tool for myself that does this and generates the “here’s where you left off” summary automatically (contextos.tools if anyone’s curious), but honestly the habit matters more than the tool — even doing it in a notes app beats reconstructing from scratch.

Curious what others do for context-switching across projects. Is anyone else’s real time-sink the “loading state back into your brain” part rather than the work itself?

Some people say cachyOs is best arch distro, is it true??

I do a lot of solo dev work across multiple projects, and the thing that kept killing my flow was starting a new AI chat session and having to re-explain the entire project — what stack I’m using, decisions I already made, where I left off — every single time.

So I built a small tool that persists that context. Basically a structured memory layer sitting between me and my AI sessions: project state, past decisions, “next step” tracking, so a new session picks up where the last one left off instead of starting cold.

A few things I learned building it:

**•**	I assumed the people who’d want this most were developers already keeping a running notes file (like a CLAUDE.md) for their AI tools. Turns out the bigger pain point is people who don’t code — freelancers and consultants juggling multiple clients, who have zero system for tracking context across tools and keep losing the thread between sessions.  
**•**	The actual productivity win isn’t the AI part, it’s just having one place that remembers “what was I doing and why” for anything ongoing — a project, a client relationship, a long-running decision.  
**•**	Re-explaining context isn’t just annoying, it’s a real tax — I was spending 5-10 minutes at the start of most sessions just getting back to where I already was.

Curious how others handle this — do you keep a manual running doc, rely on your AI tool’s built-in memory, or just accept the re-explaining tax each time?

Built ContextOS (contextos.tools) — gives your AI coding sessions persistent memory so you’re not re-explaining context every session.

Assumed the buyer would be devs already running CLAUDE.md/memory.md setups. Wrong — they already have a system that works. The real interest is coming from freelancers/consultants juggling client work with no memory system at all.

Skipped Stripe for v1, went with crypto payments (OxaPay, no-KYC) — smoother than expected. Free/Pro tiers with a hard usage cap instead of a trial, seems to filter for people who’ll actually use it daily.

Still deciding whether to rewrite the homepage around the new ICP or wait for more signal first.

Anyone else build for one audience and find your actual buyers were somewhere else entirely?

I juggle 6-7 projects at once — trading bots, client work, a SaaS. Claude is my main coding partner, but every new conversation starts blank. I was burning the first 20 minutes of each session re-explaining the stack, what I tried last time, why I picked Prisma over raw SQL, what the current blocker is. Sometimes I’d scroll through old conversations trying to find that one message where I’d explained the architecture properly.

So I built ContextOS. The workflow: when I stop working I log a short session note (what got done, what broke, next step) and record decisions with their “why”. When I come back — a week later, whenever — it generates a resume briefing: where I left off, current blocker, recent decisions, recommended next action. I paste that into a fresh Claude session and it’s up to speed immediately instead of interrogating me.

Honest state: launched this week, free tier exists, still rough in places — the mobile layout fought me for days and I lost my first payment provider to KYC requirements, so billing is crypto for now. There’s a 60s demo on the site: contextos.tools

Where it broke down for me: the friction of logging was just high enough that I’d skip it when tired (which is exactly when the notes matter most), and reading back three weeks of raw entries still required me to synthesize “so where was I?” myself. Templates helped with the first problem, nothing helped with the second.

I ended up building a small dedicated tool for my workflow (happy to share in comments if anyone wants, not trying to pitch here) — but honestly the Notion months taught me what the data model should be: sessions, decisions-with-reasoning, and a single “next action” per project.

Curious what setups people here use for context rather than tasks — especially anyone who solved the “synthesize where I was” problem inside Notion. AI blocks summarizing a database view? I left before trying that seriously.

So I built ContextOS. When I stop working on something, I log a 2-minute session note — what got done, what broke, next step — and record decisions with their reasoning. When I come back, it generates a resume briefing: where I left off, the current blocker, and a suggested next action. There’s also an AI “suggest next step” that reads recent sessions and picks the highest-impact thing to do.

The build had its moments — my first payment provider dropped me over KYC requirements halfway through integration, so I rebuilt billing on crypto (USDT). Mobile layout took embarrassingly long for someone who’s shipped multiple web apps.

Launched this week. Free tier, Pro is $9/mo. 60-second demo on the site: contextos.tools

How do the rest of you handle context switching between projects? Notes app, README-driven, just raw memory? Half convinced most people are more disciplined than me and this is a me-problem I’ve productized.

I juggle 6-7 projects at once — trading bots, client work, a SaaS. Claude is my main coding partner, but every new conversation starts blank. I was burning the first 20 minutes of each session re-explaining the stack, what I tried last time, why I picked Prisma over raw SQL, what the current blocker is. Sometimes I’d scroll through old conversations trying to find that one message where I’d explained the architecture properly.

So I built ContextOS. The workflow: when I stop working I log a short session note (what got done, what broke, next step) and record decisions with their “why”. When I come back — a week later, whenever — it generates a resume briefing: where I left off, current blocker, recent decisions, recommended next action. I paste that into a fresh Claude session and it’s up to speed immediately instead of interrogating me.

Honest state: launched this week, free tier exists, still rough in places — the mobile layout fought me for days and I lost my first payment provider to KYC requirements, so billing is crypto for now. There’s a 60s demo on the site: contextos.tools