<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Startup on Aayush Bajaj's Augmenting Infrastructure</title><link>https://abaj.ai/tags/startup/</link><description>Recent content in Startup on Aayush Bajaj's Augmenting Infrastructure</description><generator>Hugo</generator><language>en</language><copyright>© 2026 Aayush Bajaj</copyright><lastBuildDate>Fri, 03 Jul 2026 06:00:15 +1000</lastBuildDate><atom:link href="https://abaj.ai/tags/startup/index.xml" rel="self" type="application/rss+xml"/><item><title>TutorsFirst</title><link>https://abaj.ai/roam/tutorsfirst/</link><pubDate>Thu, 02 Jul 2026 16:31:58 +1100</pubDate><guid>https://abaj.ai/roam/tutorsfirst/</guid><description>&lt;p style="text-align:center;margin:0 0 1rem">
&lt;svg width="104" height="104" viewBox="0 0 120 120" xmlns="http://www.w3.org/2000/svg" role="img" aria-label="tutorsfirst logo">
 &lt;title>tutorsfirst&lt;/title>
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 &lt;text x="82" y="44" text-anchor="middle" font-family="system-ui,sans-serif" font-size="15" font-weight="600" fill="#ffffff">TF&lt;/text>
 &lt;text x="38" y="87" text-anchor="middle" font-family="system-ui,sans-serif" font-size="13" font-weight="500" fill="#8497bb">FT&lt;/text>
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&lt;/svg>
&lt;/p>
&lt;p>&lt;a
 href="https://tutorsfirst.com.au"
 
 
 class="link--external" target="_blank" rel="noreferrer"
 
>&lt;strong>tutorsfirst&lt;/strong>&lt;/a> is an Australian tutoring marketplace —
find a trusted, &lt;strong>verified&lt;/strong> tutor by subject, level and suburb. Browsing is free,
tutors list free and keep 100% of their lesson fees, and students pay one small flat
connection fee to swap contact details. No subscriptions, no commission.&lt;/p></description></item><item><title>Fatfort</title><link>https://abaj.ai/roam/fatfort/</link><pubDate>Thu, 02 Jul 2026 16:27:54 +1100</pubDate><guid>https://abaj.ai/roam/fatfort/</guid><description>&lt;p style="text-align:center;margin:0 0 1rem">
&lt;svg width="104" height="104" viewBox="0 0 120 120" xmlns="http://www.w3.org/2000/svg" role="img" aria-label="fat-fort logo">
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 &lt;text x="38" y="43" text-anchor="middle" font-family="system-ui,sans-serif" font-size="13" font-weight="500" fill="#7c8794">TT&lt;/text>
 &lt;text x="82" y="43" text-anchor="middle" font-family="system-ui,sans-serif" font-size="13" font-weight="500" fill="#7c8794">TF&lt;/text>
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&lt;/svg>
&lt;/p>
&lt;p>&lt;a
 href="https://fatfort.com"
 
 
 class="link--external" target="_blank" rel="noreferrer"
 
>&lt;strong>fat-fort&lt;/strong>&lt;/a> is an early-stage effort in &lt;strong>adversarial machine
learning&lt;/strong> and &lt;strong>computer-vision robustness&lt;/strong> — auditing where models break, and how to
certify that they don&amp;rsquo;t. Built in the open, honest about the stage: no invented
clients, no borrowed logos, no certifications that don&amp;rsquo;t exist yet.&lt;/p>
&lt;p>The mark is a 2×2 grid whose corners read TT · TF · FT · FF. fat-fort is the &lt;strong>FF&lt;/strong>
corner (in red); its sibling &lt;a
 href="https://abaj.ai/roam/tutorsfirst/"
 
 
>tutorsfirst&lt;/a> is the &lt;strong>TF&lt;/strong> corner — two cells of the
same matrix.&lt;/p></description></item></channel></rss>