DEV Community: RoviDev

I audited my own bounty radar: 86% of the "Algora bounties" I was tracking weren't real

RoviDev — Tue, 27 Oct 2026 11:57:10 +0000

I run a small radar that lists paid GitHub issues (Algora, Opire, IssueHunt, BountyHub, TaskBounty). Recently I audited my own feed and found it was wrong in an instructive way. Here is what I got wrong, and the check that fixes it.

The mistake: trusting text on the issue

My scanner treated "/bounty $700" in:body as proof of an Algora bounty. That query matches roughly 67,000 open issues on GitHub. Of the 97 issues I had flagged as verified Algora bounties, 83 (86%) had no comment from the real Algora app. That was about $18,900 of money that didn't exist.

The three patterns of fake

Amounts typed by hand on throwaway repos. Anyone can write /bounty $700 in an issue; no money is behind it.
Look-alike bots. One bot posts "💎 $9400 bounty" in exactly Algora's format, but it isn't Algora's app.
"AI only" farms. Dozens of issues with labels like "AI only allowed - no humans", created by the same author, some even using the real bot.

The signal that works

The real Algora app comments "💎 $X bounty" on the issue, from the account algora-pbc. So this search returns the real set:

commenter:algora-pbc state:open type:issue

Today that is about 33 open issues, not thousands. Parse the amount from that comment, not from the issue body.

What else to check before you spend hours

The issue is still open and unassigned.
No merged PR already references it.
The repo is active and not brand new.
The thread isn't a swarm (dozens of competing attempts).

The result

My public numbers went from "104 bounties / $47k" to a handful of workable ones. It looks worse, but it's true, and it saves hours: a big number is not a verified number.

I turned these checks into a free live board (numbers deliberately coarse): https://bountyos.rovidev.com/en/github-bounty-board/?utm_source=devto&utm_medium=article&utm_campaign=antifraud

More on spotting fakes: https://bountyos.rovidev.com/en/blog/how-to-spot-fake-github-bounties/?utm_source=devto&utm_medium=article&utm_campaign=antifraud

What other cheap ground-truth signals do you use to avoid wasted effort? I'd like to hear them.

Where is it cheaper to hire in LATAM? Mexico vs Colombia vs Brazil (employer cost API)

RoviDev — Sun, 05 Jul 2026 20:08:23 +0000

TL;DR: Gross salary is not what you pay. Employer contributions + statutory provisions (aguinaldo, 13th salary, vacation accruals) change the ranking. We built a free comparison tool powered by our Employment Cost API v2.3 — same engine behind RapidAPI LATAM & Iberia Payroll (Basic plan $0).

The question every remote-hiring team asks

"Should we hire in Mexico, Colombia, or Brazil?"

Payroll APIs usually answer gross → net for the employee. Finance and EOR teams need monthly_fully_loaded_cost — what the company actually spends per month.

Mid-tier snapshot (API v2.3)

Country	Loaded / month	Multiplier
Chile	1,340,840 CLP	1.12×
Peru	5,843 PEN	1.30×
Mexico	67,868 MXN	1.36×
Colombia	11,080,267 COP	1.39×
Brazil	11,955 BRL	1.49×

One API call

curl -s -X POST "https://api.rovidev.com/v1/employment-cost/compare" \
  -H "Content-Type: application/json" \
  -H "X-RapidAPI-Key: YOUR_KEY" \
  -d '{"gross_monthly":50000,"countries":["mx","co","br","ar"],"include_statutory_provisions":true}'

Try it

Estimates for HR/fintech planning — not legal or tax advice.

Built by RoviDev.

How to calculate LATAM net salary via API (Node.js & Python)

RoviDev — Sun, 05 Jul 2026 16:04:48 +0000

Remote hiring in Latin America sounds simple until you need consistent payroll math across Mexico, Brazil, Colombia and a dozen more regimes. Spreadsheets break when you add reverse calculations ("guaranteed net") or employer total cost.

We ship LATAM & Iberia Salary Planning API v2 — same engine behind 30+ free calculators on RoviDev. This post shows how to integrate it in Node.js and Python via RapidAPI (Basic plan $0).

What you get

GET /v1/countries — 20 countries + currency
POST /v1/payroll/{country} — Gross → net + deductions
POST /v1/payroll/{country}/reverse — Target net → required gross
POST /v1/payroll/batch — Up to 50 rows per call

Countries include mx, br, ar, co, pe, cl, es, pt and more. Response includes employer_total_cost — critical for EOR and fintech budgeting.

1. Subscribe on RapidAPI

Open LATAM & Iberia Payroll on RapidAPI
Choose Basic ($0) and subscribe
Copy X-RapidAPI-Key
Use host latam-iberia-payroll.p.rapidapi.com

2. Node.js — gross to net

const RAPIDAPI_KEY = process.env.RAPIDAPI_KEY;

async function grossToNet(country, grossMonthly) {
  const res = await fetch(`https://api.rovidev.com/v1/payroll/${country}`, {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'X-RapidAPI-Key': RAPIDAPI_KEY,
      'X-RapidAPI-Host': 'latam-iberia-payroll.p.rapidapi.com',
    },
    body: JSON.stringify({ gross_monthly: grossMonthly, pay_period: 'monthly' }),
  });
  if (!res.ok) throw new Error(await res.text());
  return res.json();
}

grossToNet('mx', 35000).then(console.log);

3. Python — reverse (net → gross)

import os, requests

def reverse_net(country: str, net_target: float) -> dict:
    r = requests.post(
        f"https://api.rovidev.com/v1/payroll/{country}/reverse",
        headers={
            "X-RapidAPI-Key": os.environ["RAPIDAPI_KEY"],
            "X-RapidAPI-Host": "latam-iberia-payroll.p.rapidapi.com",
        },
        json={"net_monthly": net_target, "pay_period": "monthly"},
        timeout=30,
    )
    r.raise_for_status()
    return r.json()

print(reverse_net("mx", 30000)["gross_monthly"])

4. Production tips

Backoff on 429 — respect RapidAPI quotas
Disclaimer in UI — planning estimates, not legal payroll advice
AI agents → MCP server on MCPize

Try it

Built by RoviDev. Cross-posted from rovidev.com.