nerboda

class Calendar
  attr_reader :start_date, :taken

  TIMES = ['09:00:00', '09:45:00', '10:30:00', '11:15:00', '12:00:00', '12:45:00', '13:30:00', '14:15:00', '15:00:00', '15:45:00'].freeze

  def initialize(start_date, taken)
    @start_date = start_date
    @taken = taken.join(',')
  end

nerboda

def get_nth_weekday_of_month(n, day, month, year)
  first_day_of_month = Date.new(year, month, 1)

  if first_day_of_month.wday <= day
    days_to_add = day - first_day_of_month.wday
  else
    days_to_add = (7 + day) - first_day_of_month.wday
  end

  first = first_day_of_month + days_to_add.days

nerboda

GlassRoots Data

GlassRoots Data is a map based visualization tool for gaining high level insights on the feasability of broadband projects in rural and urban neighborhoods throughout Colorado.

Data layers include Census Data at the State, County, Zip Code, Census Tract, Census Place, and Census Block Group levels for both 2010 and 2016. We then overlay that with Broadband Speed Test data from both data.colorado.gov and fcc.gov, allowing you to quickly scout out unserved or underserved areas where census metrics like population density, percentage of remote workers, median income etc. might expose as being ripe for broadband development projects.

Minimum Viable Product

In it's current form, the app doesn't provide the full feature set outlined in our value proposition and will require 1-2 months development in order to get to a minimum viable product that provides value to our target customers: Small ISPs and Municipalities.

nerboda

function MyPromise(action) {
	this.status = 'pending';
	this.value = undefined;

	this.thenCallbacks = [];
	this.onCatch = undefined;
	this.onFinally = undefined;

	this.then = function(callback) {
		this.thenCallbacks.push(callback);

nerboda

if Rails.env == 'production'
  url = ENV["BONSAI_URL"]
  transport_options = { request: { timeout: 250 } }
  options = { hosts: url, retry_on_failure: true, transport_options: transport_options }
  Searchkick.client = Elasticsearch::Client.new(options)
end

nerboda

class << self
  def query(params)
    listings = self.active_record_search(params) # filter by other parameters first

    # return right there if search is blank
    return listings.page(params[:page]) if params[:search].blank?

    # otherwise pass already filtered set to elastic search for further filtering
    listing_ids = listings.pluck(:id)
    self.elastic_search(params, listing_ids)

nerboda

HWM Website Speed Optimization

Benchmarks

NOTE: When doing a speed test for horizonwebmarketing.com, there's a redirect to the https://www version of the site, so load times will be slower for the http or non-www version. When testing the https://www version directly, load times are slightly faster. The benchmarks below are based on the https://www version given that that's where almost all traffic will be directed.

Page statistics

• Page size - 1.9MB
• Requests - 130

nerboda

require 'mysql2'

CLIENT = Mysql2::Client.new(:host => "localhost", :username => "root", :database => 'aoc_wordpress')

select_rows = <<-QUERY
  SELECT * FROM artists LIMIT 100;
  QUERY
CLIENT.query(select_rows)

nerboda

SERP Optimizer

The tool presents KPI data from Google Search Console by URL for each of the pages on your site. It discovers opportunities to improve click through rates and decrease bounce rate by looking for high impression pages that are performing poorly despite their rankings. It provides a simple way to manage your websites Title Tags and Meta Descriptions, and to track the influence changes to them have on your KPIs over time.

Features

• Analyze your sites KPI data (impressions, clicks, CTR, average position etc) by url or keyword
• Receive alerts about opportunities to improve your content's appearance in SERPs
• Assign keyword targets for pages to help focus your SERP optimization efforts
• Assign page targets for keywords to help eliminate competing pages
• Plan changes to titles/meta descriptions with scheduled tasks

nerboda

<meta name="viewport" content="width=device-width, initial-scale=1">
<script>
  (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
  (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
  m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
  })(window,document,'script','//www.google-analytics.com/analytics.js','ga');

  ga('create', 'UA-38847374-13', 'auto');
  ga('send', 'pageview');
</script>