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Webhooks are great until you are staring at logs, guessing whether a request actually arrived, or trying to inspect a payload that vanished into the void.
So I built Hookwise.
Hookwise gives you a private webhook endpoint in seconds, captures incoming requests, and lets you inspect payloads while you build and debug.
No card. No setup ceremony. Just create an endpoint and start catching requests.
It is free to use for now, and I would love to hear what you would use it for or what would make it more useful.
Try it here:
https://tryhookwise.vercel.app/
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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I built DollarWise, an AI-powered finance tracker.
No need for manual entry of expenses. DollarWise takes users’ monthly bank statements, automatically extracts the data and provides an analysis of their spending habits, a transaction history and AI suggestions on how to spend more wisely.
Tech Stack: Flutter, Firebase, Groq API
Key Features:
* Automatic data fetching from uploaded statements instead of manual data entry
* AI-powered monthly spending analysis
* AI suggestions on improving and maintaining a budget
* Monthly transaction history
* Complete Firebase authentication
Just wrapped up setting up a centralized logging pipeline for a Dockerized app — Filebeat shipping Docker logs to Elasticsearch, visualized in Kibana.
Small setup, but satisfying seeing container logs go from scattered JSON files to a searchable dashboard in real time.
#DevOps #Docker #Elasticsearch #Observability
Ran 4 commands, viewed 2 files, created a file
Ran 4 commands, viewed 2 files, created a file
Looks clean. Checking page 2 too.
Check page 2 render
Check page 2 render
Two pages with page 2 nearly empty — let me tighten it to fit one page, which reads better for a Fiverr portfolio upload.
Edited 2 files, ran 2 commands
Edited 2 files, ran 2 commands
Now fits on one page.
Check final single-page render
Check final single-page render
This looks solid — clean, one page, no overflow. Moving it to outputs.
Ran a command, read a file
Ran a command, read a file
One-pager built around Mini DataDog, JardiniHomes, and the RAG chatbot, plus your Scale AI/Appen/iMerit background. Say the word if you want a shorter Fiverr-bio version too, or tweaks to the project bullets.
Daniel felix resume fiverr
Document · DOCX
convert to pdf
Ran a command, read a file
Ran a command, read a file
Here's the PDF version, ready to upload.
Daniel felix resume fiverr
Document · PDF
one liner for contra
Thought for 2s
Thought for 2s
Q: Which angle for the one-liner?
A: Broad 'full-stack + AI' generalist
Full-stack developer building MERN web apps and AI-powered tools — from real-time dashboards to RAG chatbots.
describe teh mini data dog
Mini DataDog is a MERN stack uptime monitoring platform I built — a cron-based worker checks site status in real time, JWT auth secures user accounts, and Brevo sends automated email alerts the moment something goes down. It has a full analytics dashboard (Recharts) showing uptime history and per-monitor stats, plus a settings page for managing alerts. Along the way I fixed some gnarly bugs: non-atomic MongoDB updates that were corrupting stats under concurrent checks, and a cross-user data leak in the Redux store caused by state not resetting between logins
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