Side project by Tom Granot. Check out my main offering Consume.
Let us write your personal blog posts for you.
1. We interview you (30 min/week).
2. We extract code & insights.
3. We publish to Dev.to, Hashnode, BearBlog, or Medium.
> Documentation-grade quality. A personal touch.
Build your authority without sacrificing coding time. We capture your voice, not just your keywords.
30-minute weekly interview. We ask the right technical questions to extract your expertise.
We write the post, including code snippets, architecture diagrams, and screenshots from our call.
We handle the CMS. We format the markdown. We hit publish. You just approve.
Drag the slider to see how we transform your interview into a polished technical post
[00:15:32] Yeah, so basically what we did was we took the Kubernetes cluster and we had to scale it, right? Because we were getting like a ton of traffic. So we used HPA - that's Horizontal Pod Autoscaler - and we set it to scale based on CPU. But then we realized that wasn't enough because sometimes the CPU was fine but memory was spiking. So we had to add custom metrics using Prometheus and then configure the HPA to look at both CPU and memory. It was pretty tricky to get the thresholds right...
When our application started experiencing high traffic, we quickly realized that default Horizontal Pod Autoscaler (HPA) configurations weren't sufficient for our needs.
Initially, we configured HPA to scale based on CPU utilization:
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: app-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: app
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
However, we discovered that CPU metrics alone didn't tell the full story. Our pods would experience memory pressure while CPU remained stable.
We integrated Prometheus to expose custom metrics and configured HPA to monitor both CPU and memory:
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80
This dual-metric approach ensures our cluster scales appropriately based on actual resource consumption patterns.
From interview to published post in 4 days
30-minute call where we extract your expertise
9:00 AM
We send you the complete post for review
2:00 PM
You approve or request changes
Anytime
Live on your blog with proper formatting
10:00 AM
30-minute call where we extract your expertise
We send you the complete post for review
You approve or request changes
Live on your blog with proper formatting
Total time investment: 30 minutes (just the interview)
We publish directly to your preferred platform
Developer community
Tech blogging platform
Publishing platform
Minimalist blogging
+ We can deliver raw Markdown for any other static site generator
Compare us to other options and see the difference
SYNTAX_WRITER (You) | Ghost Writers (Generic) | AI Tools (ChatGPT) | DIY (Write it) | |
|---|---|---|---|---|
| Technical accuracy | ||||
| Personal voice & style | ||||
| Code snippets & examples | ||||
| Time investment | 30 min/week | 2-3 hours | 1-2 hours | 4-6 hours |
| Monthly cost | $499 | $2,000+ | $50-200 | Free |
| Direct publishing | ||||
| SEO optimization | ||||
| Consistency (4 posts/mo) |
Calculate how much time and money you save by not writing yourself
Plus: increased visibility, job opportunities, and speaking invitations from consistent blogging
Transparent pricing. Cancel anytime.
We're confident you'll love the service. But if you don't, we make it easy to walk away.
Not happy with a post? We'll rewrite it until you are.
No contracts, no questions asked. Cancel with one click.
If we don't publish your first post within 7 days, it's free.
Join 50+ developers already building their personal brand with Syntax Writer
Yes. We send you a draft (Markdown or Google Doc). You review the technical accuracy. We handle the rest.
We officially support Dev.to, Hashnode, BearBlog, and Medium. We can also deliver raw Markdown for any other SSG.
We can help you set one up on your preferred platform (Hashnode, Dev.to, BearBlog, or Medium) during the setup phase.
Yes. Our writers are technical. We take your code snippets from the interview or your repo and format them correctly.
No. Cancel anytime. We believe in shipping value, not locking you in.