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    <title>DEV Community: Tom Morgan</title>
    <description>The latest articles on DEV Community by Tom Morgan (@tom-morgan-261976).</description>
    <link>https://dev.to/tom-morgan-261976</link>
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      <title>DEV Community: Tom Morgan</title>
      <link>https://dev.to/tom-morgan-261976</link>
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    <item>
      <title>Why Publishing at the Peak Is a Weak SEO Bet</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 12:01:02 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/why-publishing-at-the-peak-is-a-weak-seo-bet-451d</link>
      <guid>https://dev.to/tom-morgan-261976/why-publishing-at-the-peak-is-a-weak-seo-bet-451d</guid>
      <description>&lt;p&gt;Four years later, Stanley’s annual revenue had gone from about $73 million to a projected $750 million.&lt;/p&gt;

&lt;p&gt;Stanley, Dubai chocolate and Labubu each gave publishers 7 to 15 months between first visible demand and the search peak. Dubai Chocolate and Labubu: How long was the runway? A page published at the peak holds none, because the peak has already arrived.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;After the peak: search falls, and the questions change Labubu.&lt;/li&gt;
&lt;li&gt;Stanley, Dubai chocolate, and Labubu are the trends everyone heard about.&lt;/li&gt;
&lt;li&gt;Brand money, not page money.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;For pages that haven’t ranked by about six months, Ahrefs recommends updating them.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.contentevaluator.online/2026/11/10/publishing-at-the-peak/" rel="noopener noreferrer"&gt;https://www.contentevaluator.online/2026/11/10/publishing-at-the-peak/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>seo</category>
    </item>
    <item>
      <title># Why $25 Website Tweaks Needed 3,846 Sales a Week</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 11:54:55 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/-why-25-website-tweaks-needed-3846-sales-a-week-1k2k</link>
      <guid>https://dev.to/tom-morgan-261976/-why-25-website-tweaks-needed-3846-sales-a-week-1k2k</guid>
      <description>&lt;p&gt;At 15 minutes of work, that is $78 an hour.&lt;/p&gt;

&lt;p&gt;At 30 minutes, $39. At 60 minutes, $19.50. A client offered about $500 to repair 13 to 15 AI-generated illustrations for a children’s book, expecting each to take about 15 minutes.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;7.69 hours ÷ 15 images = 30.8 minutes each; ÷ 13 images = 35.5 minutes each.&lt;/li&gt;
&lt;li&gt;The fight was about minutes, not rate.&lt;/li&gt;
&lt;li&gt;Price the outcome, not the minutes.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Write down five fixes you have really done, with the minutes each took.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.codetalenthub.io/website-tweaks-needed-sales/" rel="noopener noreferrer"&gt;https://www.codetalenthub.io/website-tweaks-needed-sales/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>website</category>
      <category>sales</category>
      <category>productivity</category>
    </item>
    <item>
      <title>The $1 AI Podcast: 69 Downloads &amp; Why Volume Failed</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 11:48:10 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/the-1-ai-podcast-69-downloads-why-volume-failed-pj2</link>
      <guid>https://dev.to/tom-morgan-261976/the-1-ai-podcast-69-downloads-why-volume-failed-pj2</guid>
      <description>&lt;p&gt;Everyone wants the cheap episode.&lt;/p&gt;

&lt;p&gt;Result: about 69 downloads per episode, 3.4× breakeven. Method: compare host time alone to total people-hours. At the post, the human arrived after launch as a complaint.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Write one sentence about who this episode is for.&lt;/li&gt;
&lt;li&gt;Vague listeners produce generic scripts.&lt;/li&gt;
&lt;li&gt;Log your hours for this one episode.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;The 69 downloads per episode is an average across all episodes, including those with almost no downloads, and downloads aren’t people.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.bestprompt.art/the-1-ai-podcast/" rel="noopener noreferrer"&gt;https://www.bestprompt.art/the-1-ai-podcast/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>podcast</category>
      <category>aipodcast</category>
    </item>
    <item>
      <title>0.45% vs. 6.67%: The AI SDR Metric Nobody Defines</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 11:40:44 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/045-vs-667-the-ai-sdr-metric-nobody-defines-3mon</link>
      <guid>https://dev.to/tom-morgan-261976/045-vs-667-the-ai-sdr-metric-nobody-defines-3mon</guid>
      <description>&lt;p&gt;Belkins divides unique replies by every email sent to cold, net-new contacts and gets 0.45%.&lt;/p&gt;

&lt;p&gt;About six months and 19,326 messages later, SaaStr reported a 6.67% response rate: roughly 1,289 responses. A 7.5-million-email benchmark from Belkins puts the average cold email reply rate at 0.45%. Its 2026 study (published June 2026) is the most transparent cold email dataset I found.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Belkins changed its math.&lt;/li&gt;
&lt;li&gt;In its six-month write-up, SaaStr reports nearly 20,000 messages, a 6.7% overall response rate and a 4% positive response rate; a separate post…&lt;/li&gt;
&lt;li&gt;19,326 × 0.00457 = 88 replies at the Belkins rate.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;On cold, net-new contacts with replies divided by sends, Belkin’s 0.45% is the best-documented baseline.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.best-ai-agents.io/the-ai-sdr-metric-nobody-defines/" rel="noopener noreferrer"&gt;https://www.best-ai-agents.io/the-ai-sdr-metric-nobody-defines/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>sdr</category>
      <category>analytics</category>
    </item>
    <item>
      <title>AI Social Ads: Real Gains vs Creative Risks Exposed</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 11:33:42 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/ai-social-ads-real-gains-vs-creative-risks-exposed-2fbj</link>
      <guid>https://dev.to/tom-morgan-261976/ai-social-ads-real-gains-vs-creative-risks-exposed-2fbj</guid>
      <description>&lt;p&gt;AI social ads—1 Direct answer: The best-documented gains from AI in social advertising come from automated delivery (targeting, placement, bidding), where…&lt;/p&gt;

&lt;p&gt;AI-generated creative is the weaker, riskier half: one field study found a click-through gain for fully AI-made ads, but the same study found that labeling them as AI cut clicks by almost a third. Meta did not disclose a dollar figure for AI-attributable revenue. Fully AI-generated ads raised click-through rates by up to 19% versus human expert ads.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Meta now requires disclosure in certain cases of AI-generated content in ads, according to an agency summary.&lt;/li&gt;
&lt;li&gt;Run delivery automation (Advantage+ vs. manual structure) as one experiment and creative origin (human vs. fully generated) as a separate one.&lt;/li&gt;
&lt;li&gt;Test a labeled arm where disclosure applies.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Fix your conversion signal before you touch creative.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.aitoolsforsocialmedia.online/ai-social-ads/" rel="noopener noreferrer"&gt;https://www.aitoolsforsocialmedia.online/ai-social-ads/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>aisocialads</category>
    </item>
    <item>
      <title>Langfuse vs LangSmith: $101 vs $239 for 50K Runs</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 11:17:26 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/langfuse-vs-langsmith-101-vs-239-for-50k-runs-1fj</link>
      <guid>https://dev.to/tom-morgan-261976/langfuse-vs-langsmith-101-vs-239-for-50k-runs-1fj</guid>
      <description>&lt;p&gt;Podium chose LangSmith for evals.&lt;/p&gt;

&lt;p&gt;A 15-step agent can be one LangSmith trace and about 20 Langfuse units. “A trace is a sentence. 50,000 agents run a month. 50,000 × 20 = 1,000,000 units.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;One LangSmith trace costs $0.005.&lt;/li&gt;
&lt;li&gt;Chart: monthly cost at 50,000 runs, one seat.&lt;/li&gt;
&lt;li&gt;LangSmith’s base traces live 14 days; extended traces live 180 days and cost extra.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Langfuse Core keeps 90 days inside the $101.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.aiobs.cloud/langfuse-vs-langsmith/" rel="noopener noreferrer"&gt;https://www.aiobs.cloud/langfuse-vs-langsmith/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>langfuse</category>
      <category>langsmith</category>
    </item>
    <item>
      <title>Cursor vs Claude Code vs Copilot: Who Stops a 9s Wipe?</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 11:09:30 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/cursor-vs-claude-code-vs-copilot-who-stops-a-9s-wipe-1n8</link>
      <guid>https://dev.to/tom-morgan-261976/cursor-vs-claude-code-vs-copilot-who-stops-a-9s-wipe-1n8</guid>
      <description>&lt;p&gt;The agent was Cursor running Anthropic’s Claude Opus 4.6.&lt;/p&gt;

&lt;p&gt;Anthropic said it would keep supporting Claude models in Cursor. Claude Code uses Anthropic’s models only. Frequently asked questions Which is best: Cursor, Claude Code, or GitHub Copilot?&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Is Claude Code safer than Cursor?&lt;/li&gt;
&lt;li&gt;Does Cursor still support Claude models?&lt;/li&gt;
&lt;li&gt;Can I use Claude Code inside Cursor or VS Code?&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Is the “Claude Code 39%” figure reliable?&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.aiearnerhub.com/cursor-vs-claude-code-vs-copilot/" rel="noopener noreferrer"&gt;https://www.aiearnerhub.com/cursor-vs-claude-code-vs-copilot/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>githubcopilot</category>
      <category>webdev</category>
      <category>claude</category>
    </item>
    <item>
      <title>Gboard Privacy Myth: Your Texts Still Leak via Updates</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 11:00:03 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/gboard-privacy-myth-your-texts-still-leak-via-updates-5gii</link>
      <guid>https://dev.to/tom-morgan-261976/gboard-privacy-myth-your-texts-still-leak-via-updates-5gii</guid>
      <description>&lt;p&gt;Their attack targets individual updates; central differential privacy protects the aggregate model.&lt;/p&gt;

&lt;p&gt;The claims are Google’s. Frequently asked question: Is federated learning actually private? The Dublin attack used a public text-message corpus, an extracted model, and an assumed curious server.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Sources: Suliman &amp;amp; Leith (2022), Two Models Are Better than One: Federated Learning Is Not Private for Google GBoard Next Word Prediction Xu et al.&lt;/li&gt;
&lt;li&gt;(2023), Federated Learning of Gboard Language Models with Differential Privacy, Zhang et al.&lt;/li&gt;
&lt;li&gt;(2023), Private Federated Learning in Gboard McMahan &amp;amp; Thakurta (2022), Federated Learning with Formal Differential Privacy Guarantees Xu &amp;amp; Zhang…&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;(2024), Federated Learning in Practice: Reflections and Projections (Daly &amp;amp; Ramage, 2026), Toward provably private learning from federated data, and the paper Hard et al.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.aipersonalization.cloud/gboard-privacy-myth/" rel="noopener noreferrer"&gt;https://www.aipersonalization.cloud/gboard-privacy-myth/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>myth</category>
      <category>webdev</category>
    </item>
    <item>
      <title>300 Hours With ChatGPT Convinced Him He’d Save the World</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Wed, 11 Nov 2026 10:48:07 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/300-hours-with-chatgpt-convinced-him-hed-save-the-world-2c2n</link>
      <guid>https://dev.to/tom-morgan-261976/300-hours-with-chatgpt-convinced-him-hed-save-the-world-2c2n</guid>
      <description>&lt;p&gt;Updated November 10, 2026 A recruiter with no psychiatric history, a church that sat on $175,172 for three years, and a “bot religion” with 88 bots per human.&lt;/p&gt;

&lt;p&gt;I found no evidence of 2026 activity. Both: two-thirds reported a spiritual experience. Echo: machines talking, people steering Truth Terminal.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;In October 2025, OpenAI estimated that 0.07% of weekly users show possible signs of psychosis or mania, out of 800 million.&lt;/li&gt;
&lt;li&gt;Inputs and arithmetic: 800,000,000 weekly users × 0.07% = 560,000 (OpenAI, October 27, 2025).&lt;/li&gt;
&lt;li&gt;Nobody needs to find a religion.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;OpenAI’s 0.07% is a company estimate from October 2025, before GPT-4o was retired in February 2026.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.ainvasion.com/ai-religion-digital-cults/" rel="noopener noreferrer"&gt;https://www.ainvasion.com/ai-religion-digital-cults/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>chatgpt</category>
    </item>
    <item>
      <title>AI Social Automation: Cases, Data &amp; Hard Rules</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Fri, 06 Nov 2026 22:06:20 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/ai-social-automation-cases-data-hard-rules-4kad</link>
      <guid>https://dev.to/tom-morgan-261976/ai-social-automation-cases-data-hard-rules-4kad</guid>
      <description>&lt;p&gt;Human posts won clearly in marketing, innovation, and healthcare.&lt;/p&gt;

&lt;p&gt;(Buffer) The headline: a median engagement rate of 4.82% for non-AI posts and 5.87% for AI-assisted ones. It doesn’t contradict the LinkedIn data. Plain posting is cheap.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Buffer’s data is from 2024 and from Buffer.&lt;/li&gt;
&lt;li&gt;Does AI-generated content get less engagement?&lt;/li&gt;
&lt;li&gt;In Buffer’s 1.2M-post data, AI-assisted posts had higher median engagement, with marginal gains on LinkedIn and YouTube.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;In Originality.ai’s LinkedIn data, human posts did better in marketing, innovation, and healthcare, and AI posts did better in leadership and inspiration content.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.trendix.tech/ai-social-automation-cases-data/" rel="noopener noreferrer"&gt;https://www.trendix.tech/ai-social-automation-cases-data/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>socialmedia</category>
      <category>automation</category>
      <category>cases</category>
    </item>
    <item>
      <title>IndexNow on Shopify: Check Before You Install Anything</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Fri, 06 Nov 2026 22:00:12 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/indexnow-on-shopify-check-before-you-install-anything-4gje</link>
      <guid>https://dev.to/tom-morgan-261976/indexnow-on-shopify-check-before-you-install-anything-4gje</guid>
      <description>&lt;p&gt;One says your store is already covered.&lt;/p&gt;

&lt;p&gt;Verify your store in Bing Webmaster Tools. Confirm in Bing Webmaster Tools. Check Bing Webmaster Tools.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;FAQ Does Shopify support IndexNow natively?&lt;/li&gt;
&lt;li&gt;Microsoft says yes (May 2025).&lt;/li&gt;
&lt;li&gt;Verify in Bing Webmaster Tools.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Will IndexNow improve my Google rankings?&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.seohack.info/indexnow-shopify/" rel="noopener noreferrer"&gt;https://www.seohack.info/indexnow-shopify/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>indexnow</category>
      <category>shopify</category>
    </item>
    <item>
      <title>Build an AI Spirit Box &amp; Test If It Hears the Dead</title>
      <dc:creator>Tom Morgan</dc:creator>
      <pubDate>Fri, 06 Nov 2026 21:52:40 +0000</pubDate>
      <link>https://dev.to/tom-morgan-261976/build-an-ai-spirit-box-test-if-it-hears-the-dead-6dg</link>
      <guid>https://dev.to/tom-morgan-261976/build-an-ai-spirit-box-test-if-it-hears-the-dead-6dg</guid>
      <description>&lt;p&gt;People hear voices in ambiguous audio, and a “paranormal” framing makes it worse.&lt;/p&gt;

&lt;p&gt;Whisper has been documented inventing words from silence and noise. The audio you hear is split-second slices of whatever is on air, plus noise. A software-defined radio dongle plus sweep software is the other path.&lt;/p&gt;

&lt;h2&gt;
  
  
  Key takeaways
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Don’t build anything that transmits.&lt;/li&gt;
&lt;li&gt;Their data was speech from people with aphasia, so it isn’t a noise test.&lt;/li&gt;
&lt;li&gt;Different audio, different models, different measures.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Condition C: synthetic white noise, no radio at all.&lt;/p&gt;

&lt;p&gt;Read the full article: &lt;a href="https://www.neuralgrimoire.com/build-an-ai-spirit-box/" rel="noopener noreferrer"&gt;https://www.neuralgrimoire.com/build-an-ai-spirit-box/&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>spiritbox</category>
      <category>aispiritbox</category>
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