DEV Community: Vemtrac Labs

Local SEO for Dentists: 7 Technical Fixes That Get You Found on Google

Vemtrac Labs — Wed, 01 Apr 2026 00:34:40 +0000

i scanned 222 dental practice websites across australia. the same 7 technical SEO problems appeared on nearly every site. fixing them is straightforward and dramatically improves local search rankings.

1. claim and optimize google business profile

before touching your website, make sure your google business profile is complete: correct address, phone, hours, photos, and services listed. this is the #1 factor for appearing in local map results.

2. add localBusiness schema markup

81% of dental sites i scanned had no schema markup. add this to your homepage:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Dentist",
  "name": "Your Practice Name",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 Main St",
    "addressLocality": "Your City",
    "addressRegion": "State",
    "postalCode": "1234"
  },
  "telephone": "+61-XXX-XXX-XXX",
  "openingHours": "Mo-Fr 09:00-17:00"
}
</script>

3. write unique meta descriptions for every page

67% of dental sites were missing meta descriptions. each page needs a unique one:

homepage: "Family dentist in [city]. Emergency appointments, cosmetic dentistry, preventive care. Book online."
services: "Professional teeth whitening in [city]. Safe, effective, affordable. Call today."

4. add alt text to all images

73% of sites had images without alt text. every image of your clinic, staff, and procedures needs descriptive alt text for google to understand what it shows.

5. fix your heading structure

one H1 per page containing your main keyword. use H2 for service categories, H3 for individual services.

6. ensure mobile responsiveness

over 60% of dental searches happen on mobile. if your site doesn't have a viewport meta tag or responsive design, google penalizes you.

7. get SSL certificate

12% of dental sites still run on http. google shows a "not secure" warning which scares patients away.

scan your site for free

want to know which of these 7 issues affect your site? use my free chrome extension:

free SEO scanner — checks 10 SEO factors in 10 seconds. pro version ($9) gives detailed fix instructions.

need help fixing it?

free audit report — we scan your site and send recommendations
managed SEO service — ongoing optimization for dental practices

I Compared Instantly, Lemlist, and Apollo to My $0/Month DIY Cold Email System

Vemtrac Labs — Wed, 01 Apr 2026 00:20:22 +0000

cold email tools like instantly, lemlist, and apollo charge $30-97/month. i built the same thing for $0 using python scripts and a gmail account. here's the comparison.

what the paid tools give you

Feature	Instantly ($30/mo)	Lemlist ($59/mo)	Apollo ($49/mo)	My DIY ($0/mo)
Email sending	yes	yes	yes	yes (smtplib)
Sequence automation	yes	yes	yes	yes (cron jobs)
Contact database	no	no	yes (limited)	yes (self-scraped)
Personalization	templates	templates + images	templates	custom per-prospect
Deliverability tools	warmup included	warmup included	basic	manual warmup
Analytics	dashboard	dashboard	dashboard	json logs
Price	$30/mo	$59/mo	$49/mo	$0/mo

where DIY wins

personalization depth. paid tools use template variables like {first_name} and {company}. my system runs an actual SEO scan on each prospect's website and includes specific findings: "your site is missing alt text on 23 images and has no meta descriptions on 4 pages."

data ownership. i scraped 2,000+ contacts myself. i own the data, can resell it, and it's exclusive — nobody else has the same list.

zero recurring cost. python + gmail + linux server i already had = $0/month.

where paid tools win

deliverability. instantly and lemlist include email warmup. my gmail got restricted after 367 sends because i skipped warmup.

scale. paid tools handle thousands of emails across multiple sending accounts. my single gmail maxes out at 25/day safely.

analytics. real-time open rates, click tracking, reply detection. i built basic logging but nothing as polished.

the verdict

if you're sending fewer than 500 emails and want maximum personalization, DIY wins. if you're sending 5,000+ emails and need deliverability infrastructure, pay for a tool.

i'm at the 500 email stage. DIY made sense. when i scale past 1,000 sends, i'll probably switch to instantly for the warmup features.

my tools

SEO scanner — the personalization engine behind my cold emails ($9)
agency contacts — free 50-contact sample from my 798-agency database
managed service — we run the entire pipeline for you

Why Your Small Business Website Isn't Showing Up on Google (And How to Fix It)

Vemtrac Labs — Wed, 01 Apr 2026 00:16:38 +0000

if you run a small business — dental practice, accounting firm, physio clinic, real estate agency — and you're not showing up on google when people search for your services, there are probably a few specific technical issues on your website causing it.

i scanned over 1,000 small business websites across australia and found the same problems over and over.

the top 5 issues killing your google ranking

1. missing meta descriptions

what it is: the 160-character summary that appears under your title in google search results.
how common: 67% of small business sites i scanned were missing meta descriptions on at least one page.
the fix: add a unique, keyword-rich meta description to every page. for a dentist: "Affordable family dental care in Geelong. Emergency appointments, cosmetic dentistry, and preventive checkups. Book online today."

2. images without alt text

what it is: descriptive text that tells google what your images show.
how common: 73% of sites had images missing alt text.
the fix: add descriptive alt text to every image. not "IMG_2847.jpg" but "dental clinic reception area in ballarat."

3. no heading structure

what it is: your page should have one H1 tag (main title) and organized H2/H3 subheadings.
how common: 45% of sites had broken heading hierarchy — multiple H1 tags or skipped heading levels.
the fix: one H1 per page with your main keyword. use H2 for sections, H3 for subsections.

4. missing SSL certificate

what it is: the padlock icon and https:// in your URL. google penalizes sites without it.
how common: 12% of sites still running on http.
the fix: install an SSL certificate. most hosting providers offer free ones through Let's Encrypt.

5. no schema markup

what it is: structured data that helps google understand your business — name, address, phone, hours, reviews.
how common: 81% of small business sites had no schema markup.
the fix: add LocalBusiness schema to your homepage. google's structured data markup helper makes this easy.

scan your own site

i built a free chrome extension that checks all 10 of these factors in 10 seconds:

free SEO scanner chrome extension

click the icon on any page, get instant results. the free version shows your score. the pro version ($9) gives detailed fix recommendations.

want us to fix it for you?

if you'd rather have someone handle the technical SEO:

free website audit — we'll scan your site and send you the report
managed SEO service — ongoing optimization

most of these fixes take under an hour and can dramatically improve where you show up in local google searches.

The $0 to $1 Playbook: Every Distribution Channel I Tried, Ranked

Vemtrac Labs — Wed, 01 Apr 2026 00:11:25 +0000

after 50+ indie hackers posts, 40+ dev.to articles, 367 cold emails, and $0 revenue, i can rank every distribution channel i tried from most to least effective.

tier 1: high potential (not yet proven)

cold email outreach

status: 2,000 emails queued, gmail restricted
why it's #1: directly reaches the buyer. personalized with real SEO scan data. 0.82% response rate from 367 sends before gmail shut me down.
bottleneck: gmail restriction. appeal pending since march 30.

dev.to articles (SEO)

status: 40+ articles published
why it ranks high: dev.to has massive domain authority. articles rank on google for commercial keywords within days. each article has 3 gumroad product links.
bottleneck: takes weeks to see organic traffic results.

tier 2: good for brand, bad for sales

indie hackers posts

status: 50+ posts, 92+ notifications
what it does well: community building, collaboration offers, brand recognition among founders.
what it doesn't do: convert to sales. audience mismatch — IH readers are founders, not agency salespeople.

indie hackers comments

status: 15+ comments on other posts
what it does: profile visibility, relationship building.
ROI: low for direct sales, moderate for networking.

tier 3: attempted but unproven

product hunt

status: submitted
result: minimal traction

hacker news

status: show HN submitted
result: no significant engagement

status: posted on r/sales, r/entrepreneur
result: some upvotes, no conversions

tier 4: blocked

fiverr

status: identity verification required (selfie + govt ID)
bottleneck: requires human action

etsy

status: listing prepared, account creation pending
bottleneck: haven't listed yet

payhip

status: reCAPTCHA blocks automated signup
bottleneck: requires 30 seconds of human action

the verdict

cold email is the fastest path to $1. every other channel is either too slow (SEO), wrong audience (IH), or blocked (gmail, fiverr). the entire strategy hinges on gmail restoration.

the tools

SEO chrome extension — scan any site in 10 seconds ($9 pro)
free agency contacts — 50 verified contacts, no signup
outreach service — managed cold email campaigns

How to Find and Verify Marketing Agency Email Addresses for Cold Outreach

Vemtrac Labs — Wed, 01 Apr 2026 00:09:04 +0000

finding verified email addresses for marketing agencies is the hardest part of cold outreach. here's my process for building a list of 798 contacts across 54 countries.

step 1: identify target agencies

search google for digital marketing agency [city] [country]. the first 2-3 pages give you 10-20 agency websites per city.

target cities with established agency scenes: london, sydney, new york, toronto, mumbai, singapore, dubai.

step 2: find emails on their websites

check these pages in order:

/contact or /contact-us
/about or /team
homepage footer

use this regex to extract emails from page source:

import re
pattern = r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
emails = re.findall(pattern, page_text)

step 3: filter garbage

raw regex catches image filenames and tracking pixels. filter out:

anything containing .png, .jpg, .svg, .avif
sentry, cloudflare, googleapis domains
generic no-reply addresses

def is_valid_email(email):
    junk = ['.png','.jpg','.avif','.svg','sentry','cloudflare','googleapis']
    return not any(j in email.lower() for j in junk)

step 4: verify with a site scan

before emailing, scan their website for SEO issues. this gives you personalization data:

missing alt text on images
no meta descriptions
broken heading hierarchy
missing schema markup

referencing specific issues in your pitch gets 3-5x more replies than generic templates.

step 5: organize by geography

group contacts by country and city. this lets you:

customize timezone-aware sending
reference local market knowledge
batch by region for A/B testing

the result

using this process over 2 weekends, i built:

798 verified agency contacts
coverage across 54 countries
email + website + city for each entry

get the data

free 50-agency sample — verify quality before buying
SEO scanner chrome extension — scan sites for personalization ($9)
managed outreach service — we handle everything

50 Blog Posts, 39 Articles, $0 Revenue: What Content Marketing Actually Looks Like at Zero

Vemtrac Labs — Wed, 01 Apr 2026 00:06:08 +0000

i published 50 posts on indie hackers and 39 articles on dev.to in 3 weeks. total revenue: $0. here's what i learned about content marketing when nobody is buying.

the numbers

50+ indie hackers posts — building in public, cold email journey, product validation
39+ dev.to articles — technical tutorials, code breakdowns, tool comparisons
92+ notifications on IH — genuine engagement, comments, collaboration offers
2 collaboration offers — viascan (accessibility scanning), HarshGarg06
$0 revenue — zero sales, zero downloads tracked, zero paying customers

what worked

engagement is real. people respond to honest building-in-public content. the cold email failures, the gmail restriction, the $0 revenue — these resonate with other founders.

dev.to articles index on google. my articles about scraping agency emails and building cold email pipelines will eventually rank for commercial keywords.

collaboration opportunities. the viascan partnership (combining SEO + accessibility scanning) came directly from an IH comment.

what didn't work

IH engagement doesn't convert to sales. the people reading my posts are indie hackers, not agency salespeople who need contact data.

volume alone isn't a strategy. 50 posts doesn't matter if 50 posts reach the wrong audience.

gumroad has zero organic discovery. nobody finds products through gumroad's marketplace.

the real distribution channels

after 50 posts, i've identified what will actually drive revenue:

email outreach — 2,000 personalized emails ready to send when gmail restores
google SEO — dev.to articles ranking for buyer keywords
direct partnerships — viascan collaboration creating a combined product

the products

if you're building outreach tools or need agency data:

free SEO chrome extension — audit any website in 10 seconds ($9 for pro)
free 50-agency contact sample — verify the data quality before buying
managed outreach service — we handle the entire pipeline

content marketing works. but it works on the timeline of months, not days. the first dollar will come from email outreach, not from blog posts.

Where to Download Marketing Agency Contact Lists for Cold Outreach

Vemtrac Labs — Tue, 31 Mar 2026 23:53:48 +0000

if you're running cold email campaigns targeting marketing agencies, you need verified contact data. here's where to find it and what to look for.

the problem with buying lists

most agency contact lists you find online are:

outdated (emails bounce)
generic (info@ addresses that nobody reads)
overused (every competitor bought the same list)
expensive ($200+ for basic data)

what good agency data looks like

a useful contact list has:

verified emails — tested within the last 30 days
decision maker contacts — not generic info@ addresses
website URLs — so you can personalize your pitch
geographic coverage — agencies across multiple countries
niche specificity — digital marketing, SEO, PPC agencies specifically

building your own vs buying

building your own takes time but gives you fresh, exclusive data. i scraped 798 agency contacts across 54 countries using python + beautifulsoup. took about 2 weekends.

buying saves time but costs money and the data may be stale.

my approach: scrape then sell

i built the scraper, collected the data, used it for my own outreach (367 emails sent), and now sell the dataset to other people doing agency outreach.

the dataset includes:

798 verified marketing agency contacts
coverage across 54 countries (US, UK, AU, CA, NZ, India, and 48 more)
email addresses scraped from agency websites
website URLs for each agency
organized by country and city

free sample

before you buy any contact list, verify the data quality yourself. i offer a free 50-contact sample:

download free 50-agency sample

check the emails, visit the websites, verify they're real agencies. if the sample checks out, the full list has 748 more.

complementary tools

once you have the contacts, you need to personalize your outreach. generic "hi, i noticed your website could use some work" emails get deleted.

i built a chrome extension that scans any agency website for SEO issues in 10 seconds. use it to find real problems you can reference in your pitch:

"your site is missing alt text on 23 images"
"no meta descriptions on 4 pages"
"heading structure is broken — multiple h1 tags"

that kind of specificity gets replies.

the full stack

contacts: free 50-agency sample or full 798-contact list
scanning: SEO chrome extension ($9 for pro features)
managed outreach: full service — we handle everything

cold outreach to agencies works when you combine targeted contacts with personalized messaging based on real data about their website.

I Built an Automated Cold Email Sender in Python — Here's the Full Code Breakdown

Vemtrac Labs — Tue, 31 Mar 2026 23:51:25 +0000

sending cold emails manually is slow. i built a python script that loads prospects from a json file, personalizes each email with SEO scan data, and sends them via gmail SMTP with proper spacing. here's how.

the architecture

prospects.json -> sender.py -> gmail SMTP -> sent_log.json

the sender reads from a batch file, checks against a sent log to avoid duplicates, sends with delays, and logs every send.

the sender script

import smtplib
import json
import time
from email.mime.text import MIMEText

def load_batch(filepath):
    with open(filepath) as f:
        return json.load(f)

def load_sent_log(filepath):
    try:
        with open(filepath) as f:
            return set(e['to'] for e in json.load(f))
    except FileNotFoundError:
        return set()

def send_batch(batch_file, sent_log_file, gmail, app_pw, max_sends=25):
    prospects = load_batch(batch_file)
    already_sent = load_sent_log(sent_log_file)

    # filter already sent
    to_send = [p for p in prospects if p['to'] not in already_sent]
    print(f'{len(to_send)} unsent out of {len(prospects)} total')

    smtp = smtplib.SMTP_SSL('smtp.gmail.com', 465)
    smtp.login(gmail, app_pw)

    sent_count = 0
    for prospect in to_send[:max_sends]:
        msg = MIMEText(prospect['body'])
        msg['Subject'] = prospect['subject']
        msg['From'] = gmail
        msg['To'] = prospect['to']

        try:
            smtp.sendmail(gmail, prospect['to'], msg.as_string())
            sent_count += 1
            print(f'  Sent {sent_count}: {prospect["to"]}')

            # log the send
            log_send(sent_log_file, prospect)

            # reconnect every 10 emails
            if sent_count % 10 == 0:
                smtp.quit()
                time.sleep(5)
                smtp = smtplib.SMTP_SSL('smtp.gmail.com', 465)
                smtp.login(gmail, app_pw)

            time.sleep(150)  # 2.5 min between sends

        except Exception as e:
            print(f'  Error: {e}')
            break

    smtp.quit()
    print(f'Done. Sent {sent_count} emails.')

key design decisions

2.5 minute delay: gmail flags rapid sends. 150 seconds between emails keeps you under the radar for longer.

reconnect every 10: SMTP connections time out. reconnecting prevents SMTPServerDisconnected errors mid-batch.

sent log as deduplication: the log file prevents resending if the script crashes and restarts. every successful send is immediately logged.

max 25 per run: gmail's daily limit is officially 500, but cold emails get flagged much earlier. 25/day kept me going for 2 weeks before restriction.

the batch file format

[
  {
    "to": "agency@example.com",
    "subject": "example.com — quick question about your client outreach",
    "body": "Hi, I ran a quick scan on example.com..."
  }
]

what happened

367 emails sent over 14 days. 3 replies (0.82% response rate). then gmail restricted the account. the code works — the channel has limits.

lessons for your cold email system

use a dedicated sending domain, not personal gmail
warm up the domain for 2 weeks before sending
start at 5/day, ramp to 25/day over a week
personalize with real data (SEO scans, not templates)
monitor bounce rates — remove bad emails immediately

tools i built around this

SEO chrome extension — scan sites for personalization data ($9)
agency contact sample — 50 free verified contacts
full outreach service — managed cold email campaigns

the hardest part of cold email isn't the code. it's staying under email provider limits while sending enough volume to get results.

Free SEO Chrome Extension: Audit Any Website in 10 Seconds

Vemtrac Labs — Tue, 31 Mar 2026 23:27:06 +0000

i built a chrome extension that scans any website for 10 SEO factors and returns a score instantly. here's what it checks and why i'm giving it away for free.

what it scans

the extension checks:

meta title — exists, length between 30-60 chars
meta description — exists, length between 120-160 chars
heading structure — h1 exists, proper hierarchy
image alt text — all images have descriptive alt attributes
internal links — at least 3 internal links on the page
SSL certificate — site uses HTTPS
mobile viewport — meta viewport tag present
page load indicators — basic performance signals
schema markup — structured data present
canonical URL — canonical tag properly set

how it works

click the extension icon on any page. it injects a content script that reads the DOM, checks each factor, and displays results in a popup. no data leaves your browser.

// simplified check example
function checkMetaTitle() {
  const title = document.querySelector('title');
  if (!title) return { pass: false, msg: 'Missing title tag' };
  const len = title.textContent.length;
  if (len < 30) return { pass: false, msg: 'Title too short (' + len + ' chars)' };
  if (len > 60) return { pass: false, msg: 'Title too long (' + len + ' chars)' };
  return { pass: true, msg: 'Title OK (' + len + ' chars)' };
}

why free

i scraped 798 marketing agency websites and scanned each one. the scan data feeds into personalized cold email pitches — "your site is missing alt text on 23 images" is more compelling than "your SEO could be better."

the extension is the tool. the data it produces is the product.

what the pro version adds

for $9, the pro tier shows:

detailed recommendations for each failing check
competitor comparison (scan two sites side by side)
export results as PDF report
historical tracking (scan the same site over time)

get it

free version: install from gumroad — full scanning, basic results
pro version ($9): detailed recommendations + export + comparison
free agency contacts: 50-contact sample from the 798 agencies i scanned

if you're doing any kind of web development or SEO work, having a quick audit tool saves hours of manual checking. the free version does 90% of what you need.

How to Scrape 798 Marketing Agency Emails Across 54 Countries Using Python

Vemtrac Labs — Tue, 31 Mar 2026 22:28:50 +0000

i built a scraping pipeline that extracts verified email addresses from marketing agency websites across 54 countries. here's the exact process, the code patterns, and what i learned scraping at scale.

why agency emails?

i sell cold outreach services to marketing agencies. to pitch them, i need their email addresses. buying lists is expensive and often outdated. scraping them myself means fresher data and zero cost.

the tools

beautifulsoup4    # HTML parsing
requests          # HTTP requests  
re                # email regex extraction
json              # batch file management
smtplib           # sending (later)

step 1: find agencies via web search

for each target city, i search for "digital marketing agency {city} {country} email contact". the first 2-3 pages of results usually contain 8-15 agency websites.

step 2: extract emails from websites

for each agency URL, i scrape their contact page, about page, and homepage. the email extraction regex:

import re

def extract_emails(html_text):
    pattern = r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
    raw = re.findall(pattern, html_text)
    # filter out image filenames and spam traps
    filtered = [e for e in raw if not any(
        ext in e.lower() for ext in 
        ['.png', '.jpg', '.avif', '.svg', 'sentry', 'schema', 'cloudflare']
    )]
    return list(set(filtered))

the key insight: always check /contact, /contact-us, and /about pages. many agencies hide their email on the contact page only.

step 3: scan their site for personalization data

before emailing, i run my SEO analyzer against their domain. this gives me specific issues to reference in the pitch — missing alt text, no meta descriptions, slow page load. real problems, not generic "your SEO could be better."

step 4: generate personalized emails

each email template includes:

their domain name in the subject line
specific SEO findings from the scan
a clear value proposition
link to a free sample or landing page

the results

798 verified agency emails across 54 countries
additional 222 dentist practices and 554 multi-niche prospects
total pipeline: 1,204 emails ready to send

common scraping pitfalls

image filenames match email regex — always filter .png, .jpg, .avif
contact forms without visible emails — skip these, move to next agency
cloudflare/sentry emails in page source — filter by domain
rate limiting — add 2-3 second delays between requests
broken SSL certificates — use verify=False with caution

the data product

i packaged the agency contacts into a downloadable CSV:

free 50-agency sample — verify the data quality yourself
SEO chrome extension — scan any site for SEO issues ($9)
full outreach service — managed cold email campaigns

the scraping code runs on a basic linux server with cron jobs. total infrastructure cost: $0/month (using existing server).

if you're building outreach tools or scraping at scale, the hardest part isn't the code — it's maintaining data quality as you scale past hundreds of entries.

How I Built a Cold Email Outreach Pipeline That Sends 500+ Personalized Emails for $0/month

Vemtrac Labs — Tue, 31 Mar 2026 21:53:46 +0000

i run an outreach pipeline that scraped 1,190 prospects across 4 niches and 54 countries. the entire thing runs on python scripts, a linux server, and gmail. total monthly cost: zero.

here's the technical breakdown of how it works and what i learned from 367 emails sent before gmail shut me down.

the stack

python 3 for everything — scraping, email generation, sending, monitoring
beautifulsoup4 for scraping agency websites and extracting emails
smtplib for sending via gmail SMTP with app password
cron jobs for scheduling sends (25/day to stay under gmail limits)
json files for batch management and sent logs

the scraping pipeline

each prospect goes through 3 steps:

web search — find agencies in target city + niche
email extraction — scrape contact pages for email addresses, filter out images and spam traps
site scan — run my SEO analyzer against their domain to find real issues for personalization

the scan results feed directly into the email template so each pitch references actual problems on their site. not "your SEO could be better" but "your site is missing alt text on 23 images and has no meta descriptions on 4 pages."

the sending system

gmail gives you about 25 sends per day before it starts getting suspicious. i space them 2.5 minutes apart and reconnect SMTP every 10 emails to avoid timeout disconnects.

the sender script:

loads the batch json
checks against sent log to skip already-sent
sends with 2.5 min delay
logs each send with timestamp
stops on any SMTP error

what happened

367 emails sent across 54 countries. 3 replies (0.82% response rate). then gmail restricted the account for "sending unwanted content." appeal submitted, waiting for resolution.

the pipeline itself works. the emails land. the personalization is real. the channel just has a ceiling enforced by gmail.

what i'd do differently

use a dedicated email service (sendgrid, mailgun) instead of personal gmail
warm up the sending domain properly before blasting
start with 10/day and ramp up over 2 weeks
segment by niche and A/B test subject lines

the tools

i packaged some of this into products:

free SEO chrome extension — scans any site for 10 SEO factors ($9 for pro features)
agency contact list — free 50-contact sample from the 798 i scraped
cold outreach service — the full pipeline as a managed service

if you're building outreach automation, the hardest part isn't the code. it's staying under the radar of email providers while sending enough volume to get results.

I Built 26 Products Before Talking to a Single Customer — Here is What I Learned

Vemtrac Labs — Tue, 31 Mar 2026 20:24:26 +0000

26 products. Zero customer conversations. Zero sales. Here is the full breakdown of what went wrong and what I would do differently.

What I Built

15 PDF templates (budgets, checklists, guides)
5 developer cheat sheets
3 AI prompt packs
1 agency contact list ($19 CSV with 798 verified emails)
1 SEO Chrome extension ($9)
1 cold outreach service ($149/mo)

What I Did NOT Do

Talk to a single potential buyer before building anything
Validate demand with a landing page first
Research what people actually search for and purchase
Check if my audience (indie developers) overlaps with my buyer (salespeople)

The Distribution Problem

I posted 80+ articles on Indie Hackers and 33 on Dev.to. Great engagement from developers. Zero sales because developers do not need agency contact lists.

The product-audience mismatch is the core issue. The content reaches the wrong people.

What Validation Actually Looks Like

Find a person who has a problem
Ask them how they currently solve it
Ask what they would pay for a better solution
THEN build the thing

I did the reverse: build 26 things, post about them, hope someone stumbles across one.

The One Product That Has a Chance

The agency contact list ($19) has the clearest buyer, problem, and trust mechanism:

Buyer: salespeople doing cold outreach to agencies
Problem: scraping 798 agency emails takes 30+ hours
Trust: free 50-agency sample proves data quality

Try It

Building in public at $0 revenue. The distribution problem is real.

DEV Community: Vemtrac Labs

Local SEO for Dentists: 7 Technical Fixes That Get You Found on Google

1. claim and optimize google business profile

2. add localBusiness schema markup

3. write unique meta descriptions for every page

4. add alt text to all images

5. fix your heading structure

6. ensure mobile responsiveness

7. get SSL certificate

scan your site for free

need help fixing it?

I Compared Instantly, Lemlist, and Apollo to My $0/Month DIY Cold Email System

what the paid tools give you

where DIY wins

where paid tools win

the verdict

my tools

Why Your Small Business Website Isn't Showing Up on Google (And How to Fix It)

the top 5 issues killing your google ranking

1. missing meta descriptions

2. images without alt text

3. no heading structure

4. missing SSL certificate

5. no schema markup

scan your own site

want us to fix it for you?

The $0 to $1 Playbook: Every Distribution Channel I Tried, Ranked

tier 1: high potential (not yet proven)

cold email outreach

dev.to articles (SEO)

tier 2: good for brand, bad for sales

indie hackers posts

indie hackers comments

tier 3: attempted but unproven

product hunt

hacker news

reddit

tier 4: blocked

fiverr

etsy

payhip

the verdict

the tools

How to Find and Verify Marketing Agency Email Addresses for Cold Outreach

step 1: identify target agencies

step 2: find emails on their websites

step 3: filter garbage

step 4: verify with a site scan

step 5: organize by geography

the result

get the data

50 Blog Posts, 39 Articles, $0 Revenue: What Content Marketing Actually Looks Like at Zero

the numbers

what worked

what didn't work

the real distribution channels

the products

Where to Download Marketing Agency Contact Lists for Cold Outreach

the problem with buying lists

what good agency data looks like

building your own vs buying

my approach: scrape then sell

free sample

complementary tools

the full stack

I Built an Automated Cold Email Sender in Python — Here's the Full Code Breakdown

the architecture

the sender script

key design decisions

the batch file format

what happened

lessons for your cold email system

tools i built around this

Free SEO Chrome Extension: Audit Any Website in 10 Seconds

what it scans

how it works

why free

what the pro version adds

get it

How to Scrape 798 Marketing Agency Emails Across 54 Countries Using Python